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Paper Citation Record · LEDGER

Symmetries-enhanced Multi-Agent Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2501.01136.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.01136 v2

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:47:01.116935Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

75 of 75 outbound references displayed

  • verified exact13
  • verified fuzzy33
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6fe053d-554d-4a05-8432-bd464644fa02 · outbound

This paper cites an unresolved cited work.

Symmetries-enhanced Multi-Agent Reinforcement Learning Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3f500042-28c4-42fa-a231-f67a78eb376c · outbound

This paper cites On learning symmetric locomotion.

Symmetries-enhanced Multi-Agent Reinforcement Learning On learning symmetric locomotion

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d2af41f2-d3b6-4784-83fb-8b54e5bb1b10 · outbound

This paper cites Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case.

Symmetries-enhanced Multi-Agent Reinforcement Learning Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case

Reference 3

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation fb5fa430-529b-43a1-b20c-d48a8fea2a55 · outbound

This paper cites Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning.

Symmetries-enhanced Multi-Agent Reinforcement Learning Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.775981Z digest=sha256:f60ef580c25fda57468bd2b37b9eaf28e6538171c16412c234147d17d9563fff

Observation c1cd5ee8-1831-4150-b3c8-69ff23845afc · outbound

This paper cites an unresolved cited work.

Symmetries-enhanced Multi-Agent Reinforcement Learning Unresolved cited work

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:00.781304Z digest=sha256:ca2733d58481af083ef70b9548f0ae5cd27c4d810f6ea288afa34982e5af76ca

Observation 3e2e5a21-50fb-4f5b-857c-c593174c5863 · outbound

This paper cites Deep coordination graphs.

Symmetries-enhanced Multi-Agent Reinforcement Learning Deep coordination graphs

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a7e9fa89-3ea4-48d8-9857-f4495ad2a21f · outbound

This paper cites ${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning.

Symmetries-enhanced Multi-Agent Reinforcement Learning ${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning

Reference 7

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:00.791312Z digest=sha256:2bd5cc049a3ba8148f2f42c640b496bb1785d5becd8e047496c26eafded0b0dd

Observation 1deec965-7da3-4d7f-a213-2b31dffc5a0a · outbound

This paper cites Communication-efficient actor-critic methods for homogeneous markov games.

Symmetries-enhanced Multi-Agent Reinforcement Learning Communication-efficient actor-critic methods for homogeneous markov games

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.796333Z digest=sha256:4b88ee1dd3631851f8f7f4beac7e7bbd17d1ba59a38333b7356dcb7a6de7475c

Observation b950f9b9-6553-498b-9abd-73fd34a9a015 · outbound

This paper cites Subequivariant graph reinforcement learning in 3 D environments.

Symmetries-enhanced Multi-Agent Reinforcement Learning Subequivariant graph reinforcement learning in 3 D environments

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.800989Z digest=sha256:67f82fc64568102b3e8785a0cef53ac5ba3232a76f61091514b2c719c77b72e5

Observation 90ddf8b9-d9f7-475c-b8ad-c08143bd9216 · outbound

This paper cites Training deep convolutional neural networks to play go.

Symmetries-enhanced Multi-Agent Reinforcement Learning Training deep convolutional neural networks to play go

Reference 10

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1bb88f0f-0b42-42a4-8c2b-7a83ec940350 · outbound

This paper cites Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs.

Symmetries-enhanced Multi-Agent Reinforcement Learning Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs

Reference 11

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source=arxiv_source observed=2026-08-10T22:47:00.809854Z digest=sha256:7110e133ba31f155697b7f091021dd1225a0a67244c856debb4d238bf2210c11

Observation cda90d06-4d4f-42ab-a833-22a4b6873445 · outbound

This paper cites Automatic symmetry discovery with lie algebra convolutional network.

Symmetries-enhanced Multi-Agent Reinforcement Learning Automatic symmetry discovery with lie algebra convolutional network

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6731e956-6916-4e51-8ce6-40370fe5b823 · outbound

This paper cites an unresolved cited work.

Symmetries-enhanced Multi-Agent Reinforcement Learning Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 36804cf1-b72e-46b1-be94-517981475227 · outbound

This paper cites Generalizing convolutional neural networks for equivariance to lie groups on arbitrary continuous data.

Symmetries-enhanced Multi-Agent Reinforcement Learning Generalizing convolutional neural networks for equivariance to lie groups on arbitrary continuous data

Reference 14

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Observation c6c784bb-1fac-46ef-b898-5808c3a9a6cc · outbound

This paper cites System identification of the crazyflie 2.0 nano quadrocopter.

Symmetries-enhanced Multi-Agent Reinforcement Learning System identification of the crazyflie 2.0 nano quadrocopter

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.930192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.826947Z digest=sha256:614f0225257d6795627f6bddc60013826b09e47eb74c9361330ab4686a6c0523

Observation 681e92b8-67aa-4443-9398-0e5d830b99e2 · outbound

This paper cites Fuchs, Daniel E.

Symmetries-enhanced Multi-Agent Reinforcement Learning Fuchs, Daniel E

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:00.830908Z digest=sha256:2822be95567e540d4559b3716ff9585934a4569b160a50adb9f371002fd879e8

Observation f0690e37-131b-49e6-86fa-1d2de5ddd7b1 · outbound

This paper cites Notes on group actions manifolds, lie groups and lie algebras.

Symmetries-enhanced Multi-Agent Reinforcement Learning Notes on group actions manifolds, lie groups and lie algebras

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.834988Z digest=sha256:76e5c83ff0e0f425a36a51cb6052ba0be2e2d9c8cdca8be713f3e725c8d894b8

Observation d8035478-6118-4916-b576-f8d28bc41713 · outbound

This paper cites Grizzle and S.

Symmetries-enhanced Multi-Agent Reinforcement Learning Grizzle and S

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8180b495-e8a2-490b-ad3c-fd918dbcdeb5 · outbound

This paper cites Exploiting different symmetries for trajectory tracking control with application to quadrotors*.

Symmetries-enhanced Multi-Agent Reinforcement Learning Exploiting different symmetries for trajectory tracking control with application to quadrotors*

Reference 19

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verified exact
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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation dcdf4986-7eb5-45b9-8919-10a4bda06c00 · outbound

This paper cites Boosting multiagent reinforcement learning via permutation invariant and permutation equivariant networks.

Symmetries-enhanced Multi-Agent Reinforcement Learning Boosting multiagent reinforcement learning via permutation invariant and permutation equivariant networks

Reference 20

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verified fuzzy
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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e0029e6c-ea18-4fb0-aa52-870436eb0674 · outbound

This paper cites Gauge equivariant transformer.

Symmetries-enhanced Multi-Agent Reinforcement Learning Gauge equivariant transformer

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f809b943-f323-445c-b6da-071e233d7097 · outbound

This paper cites O ther-play.

Symmetries-enhanced Multi-Agent Reinforcement Learning O ther-play

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c25730f7-b3ac-40de-a4c8-ccb8f21b44a6 · outbound

This paper cites Edge grasp network: A graph-based se(3)-invariant approach to grasp detection.

Symmetries-enhanced Multi-Agent Reinforcement Learning Edge grasp network: A graph-based se(3)-invariant approach to grasp detection

Reference 23

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source=arxiv_source observed=2026-08-10T22:47:00.861591Z digest=sha256:5b68be9ca9bbb57e7d96a3f3b84bf516f9e74358a859db6cd682637b0bfc0b2e

Observation 9d1126e6-1e1f-43c3-9171-6d647d314d7e · outbound

This paper cites Noack, Gang Hu, Shugao Liu, Yuchen Xu, and Huanhui Cao.

Symmetries-enhanced Multi-Agent Reinforcement Learning Noack, Gang Hu, Shugao Liu, Yuchen Xu, and Huanhui Cao

Reference 24

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Observation e4c89630-73e5-49c7-ba32-44947b34e997 · outbound

This paper cites QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control.

Symmetries-enhanced Multi-Agent Reinforcement Learning QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control

Reference 25

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Observation 14f454fc-d024-4e1a-b4bd-08a4ee81b6ea · outbound

This paper cites Graph Convolutional Reinforcement Learning.

Symmetries-enhanced Multi-Agent Reinforcement Learning Graph Convolutional Reinforcement Learning

Reference 26

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:00.875907Z digest=sha256:bf7ee572712e9b50638d3a18eeb0b73b93bdd24165ae136aef35b6bac8130235

Observation ba3c98f6-9c58-403c-98b5-1cc391ec477e · outbound

This paper cites Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels.

Symmetries-enhanced Multi-Agent Reinforcement Learning Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 27

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Unavailable: canonical work link unavailable.

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Observation aaa1f63d-7b67-4762-a838-8c6c93849ba6 · outbound

This paper cites Reinforcement learning with augmented data.

Symmetries-enhanced Multi-Agent Reinforcement Learning Reinforcement learning with augmented data

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 720fbd4f-632a-4681-ad80-d02ddb9bc20e · outbound

This paper cites HGAP : Boosting permutation invariant and permutation equivariant in multi-agent reinforcement learning via graph attention network.

Symmetries-enhanced Multi-Agent Reinforcement Learning HGAP : Boosting permutation invariant and permutation equivariant in multi-agent reinforcement learning via graph attention network

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.833089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 381f3c56-86fd-409a-b024-23dffad83766 · outbound

This paper cites Invariant transform experience replay: Data augmentation for deep reinforcement learning.

Symmetries-enhanced Multi-Agent Reinforcement Learning Invariant transform experience replay: Data augmentation for deep reinforcement learning

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:00.895707Z digest=sha256:a70ea2db816efd8274ef2e5e99146c078dc756cb392a13407300688c6a17a1c9

Observation 8e5ed8a9-15dc-4dcf-8901-fabadd3bc2e6 · outbound

This paper cites PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning.

Symmetries-enhanced Multi-Agent Reinforcement Learning PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning

Reference 31

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local_arxiv, observed 2026-08-10T22:47:01.983691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.900320Z digest=sha256:4964a61b81c7c350b0a9af271a1e837aadd6d05b159a99143973382bea9506cb

Observation 9d169899-ff26-4300-a04b-92aa4dff065f · outbound

This paper cites Enabling equivariance for arbitrary Lie groups.

Symmetries-enhanced Multi-Agent Reinforcement Learning Enabling equivariance for arbitrary Lie groups

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:47:01.962191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.905385Z digest=sha256:646ef55193521d99fe0b784f98768bfa7fead6fe216058874cba3f1e9748411b

Observation e76b6e35-4077-4c43-9ec2-8786af2e6200 · outbound

This paper cites Equivariant Filter Design for Kinematic Systems on Lie Groups.

Symmetries-enhanced Multi-Agent Reinforcement Learning Equivariant Filter Design for Kinematic Systems on Lie Groups

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:47:01.940231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.910123Z digest=sha256:f3e04db0fb6a0b5b385b84b150d34b3909c024f40815ed2dd13c51b9ad4ae60d

Observation 78dd37ba-776f-4add-868b-a320a59e6338 · outbound

This paper cites Observers for kinematic systems with symmetry.

Symmetries-enhanced Multi-Agent Reinforcement Learning Observers for kinematic systems with symmetry

Reference 34

Resolution
verified exact
raw_fallback, observed 2026-08-10T22:47:01.918565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.915290Z digest=sha256:e9aa7ec95be9f88a8220e0c9e9ffc298f80c757c143b01422758be6eeedc888f

Observation 43cadcc2-80c3-4bba-8da2-bdc053a6213f · outbound

This paper cites Equivariant Systems Theory and Observer Design.

Symmetries-enhanced Multi-Agent Reinforcement Learning Equivariant Systems Theory and Observer Design

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:00.925185Z digest=sha256:1ac5f4f58c80605c06c96201d385d31c444a27e64f2f37ddc409ba60d577ae65

Observation dbdb8a70-e613-45ed-bd03-78aa365072b2 · outbound

This paper cites Exploiting symmetry for discrete-time reachability computations.

Symmetries-enhanced Multi-Agent Reinforcement Learning Exploiting symmetry for discrete-time reachability computations

Reference 37

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:00.929960Z digest=sha256:48d804fefb7bbafe614affff733b917d1103ea8744a9af01b22c472d638eb9d8

Observation 389edd83-a4e4-4ed8-9940-d09ec7cd26a8 · outbound

This paper cites Symmetry reduction for dynamic programming.

Symmetries-enhanced Multi-Agent Reinforcement Learning Symmetry reduction for dynamic programming

Reference 38

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verified exact
local_arxiv, observed 2026-08-10T22:47:01.720902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.934699Z digest=sha256:d927170f6a3b357470a63f8e48e3f7f6eda9dde6b3f0c759624d5412081ecc9f

Observation cbdd8b6e-8e88-458b-baa5-8bc5c0ba0abc · outbound

This paper cites Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion.

Symmetries-enhanced Multi-Agent Reinforcement Learning Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:47:01.700841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.939661Z digest=sha256:c9f427ba698f7e17c8a56921461739a3bc58034d8e843b109e90a63e6dc6aec7

Observation a43bbc73-10b0-4d48-afaf-00791437763e · outbound

This paper cites Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance.

Symmetries-enhanced Multi-Agent Reinforcement Learning Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:00.944360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:00.944360Z digest=sha256:2ef9fd1df80c2fd2513d935971171ee65da353c46bc59536fb76a30fd64b8f84

Observation 0813b301-ce0e-4da6-bbd5-36d0f5bbafc6 · outbound

This paper cites Lie group decompositions for equivariant neural networks.

Symmetries-enhanced Multi-Agent Reinforcement Learning Lie group decompositions for equivariant neural networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.818464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.948827Z digest=sha256:e9a02b8a60a2a864152d93d692f9e43162ef1f619f220160275db67fb20b3b47

Observation 11cd4f33-5dda-4dc8-b7f3-8389c49399cb · outbound

This paper cites Group Equivariant Deep Reinforcement Learning.

Symmetries-enhanced Multi-Agent Reinforcement Learning Group Equivariant Deep Reinforcement Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:00.953164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:00.953164Z digest=sha256:457c0c415aa24fa76433ac603d21d4871273d6fdb726af565f475794f86dbfaa

Observation a71f0164-f2b0-44f1-b28d-102df220f238 · outbound

This paper cites Attending to graph transformers, 2023.

Symmetries-enhanced Multi-Agent Reinforcement Learning Attending to graph transformers, 2023

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.803640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.957478Z digest=sha256:9c2841ba92f66bebb9133d99c2d728873a3667c78c8d58c2914ae284217b9cf1

Observation e1598ffa-dc63-44f1-908a-6ff9eb014120 · outbound

This paper cites Scalable multi-agent reinforcement learning through intelligent information aggregation.

Symmetries-enhanced Multi-Agent Reinforcement Learning Scalable multi-agent reinforcement learning through intelligent information aggregation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.789581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.961841Z digest=sha256:785a00ec4fbf6df42002f020d80a10b5d200e77de05ef7d0d3d623fd548466cb

Observation ebc44355-13a9-4b4d-81e1-bd67ad285d39 · outbound

This paper cites Policy gradient with value function approximation for collective multiagent planning.

Symmetries-enhanced Multi-Agent Reinforcement Learning Policy gradient with value function approximation for collective multiagent planning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.775985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.966137Z digest=sha256:e81fed8082563f25db87dcb79e3b71c6a3eb69e4bcfecca7d9bf2cc78b1dbef6

Observation a58fadcb-f0fe-4017-92a1-27616ba41a9a · outbound

This paper cites Equivariant reinforcement learning under partial observability.

Symmetries-enhanced Multi-Agent Reinforcement Learning Equivariant reinforcement learning under partial observability

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.761213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.970355Z digest=sha256:891fc8d6984f5e3fb099661ebe84efac10c7e4c55f008beb791b840e6ac82899

Observation 1e896dc4-acf1-48b7-a141-63c9131bd88d · outbound

This paper cites On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis.

Symmetries-enhanced Multi-Agent Reinforcement Learning On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:00.974732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:00.974732Z digest=sha256:9fa4acc28531d210d8b39ba1cd04d8c4f0ed1674b072e6676f2e8cd988becef1

Observation 2dc82a33-5bb7-473a-a653-da8a6dffc119 · outbound

This paper cites Schoellig.

Symmetries-enhanced Multi-Agent Reinforcement Learning Schoellig

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:00.978871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:00.978871Z digest=sha256:3f5e092d418519cf3023cf9e88a829ed3afb2fe577590f5b839715faddcbb096

Observation 4e1ca54e-6275-45af-a990-aa17e93018cd · outbound

This paper cites Improving equivariant model training via constraint relaxation.

Symmetries-enhanced Multi-Agent Reinforcement Learning Improving equivariant model training via constraint relaxation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.746173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.984089Z digest=sha256:9ee4c72acb92c5e949001191b54ab8b47076c6efda579c8a11e80415e210277d

Observation a57f7547-9dfa-4bc4-babc-c17a996258dc · outbound

This paper cites Sukhatme, and Vladlen Koltun.

Symmetries-enhanced Multi-Agent Reinforcement Learning Sukhatme, and Vladlen Koltun

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.731187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.989876Z digest=sha256:fe4df3862da2b2449b65d20f02fb07d890341aeb325c307698ea016a1f0cbfad

Observation e2797219-443a-4d32-a01b-4b91987f93ea · outbound

This paper cites Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning.

Symmetries-enhanced Multi-Agent Reinforcement Learning Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:47:01.555451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.994594Z digest=sha256:6a998125dedb0fc25de4f82fc4ffae8a47ab3afcfc64af594044840ebc3dfe06

Observation 02d4141c-1552-4b07-841c-4d478be03109 · outbound

This paper cites an unresolved cited work.

Symmetries-enhanced Multi-Agent Reinforcement Learning Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:47:02.717530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:00.999459Z digest=sha256:acfeaa6c0f750cdcb250646e02d218b9aff1606f9d2dc23a344dd305de7c7340

Observation fab8329b-4ddd-4de4-a232-c049a09e8c5e · outbound

This paper cites E(n) equivariant graph neural networks.

Symmetries-enhanced Multi-Agent Reinforcement Learning E(n) equivariant graph neural networks

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.703772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.004008Z digest=sha256:1e5b1ccbe76036dceb6812188a4dfb7a9c12385da68439ea976de7b983211f95

Observation 2dd23877-dadb-465a-87f4-6cfacf2bedc5 · outbound

This paper cites Equivariant message passing for the prediction of tensorial properties and molecular spectra.

Symmetries-enhanced Multi-Agent Reinforcement Learning Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.689487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.008778Z digest=sha256:d6aa4142175711ab72301e76f489d385ca086ee19304e2fd7529991c2d9fabae

Observation 294efe6e-2fee-42b8-b025-346d7c817b77 · outbound

This paper cites Symmetry-Aware Actor-Critic for 3D Molecular Design.

Symmetries-enhanced Multi-Agent Reinforcement Learning Symmetry-Aware Actor-Critic for 3D Molecular Design

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:47:01.513209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.013389Z digest=sha256:d2626eea819d5a5b10445b753f6c05e522edfb74ba6fbada871ea31f62105176

Observation 4751ab17-3333-4718-a536-e057d53820a7 · outbound

This paper cites So(2)-equivariant downwash models for close proximity flight.

Symmetries-enhanced Multi-Agent Reinforcement Learning So(2)-equivariant downwash models for close proximity flight

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:01.018150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:01.018150Z digest=sha256:26887e860c089e146512ca01d20dc0923937455efd7da51d421bf66a0fd6cf5d

Observation 60d34a64-2e1e-4381-bdbb-98744ed66cad · outbound

This paper cites Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards.

Symmetries-enhanced Multi-Agent Reinforcement Learning Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:47:01.405735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.022806Z digest=sha256:975460bfe3df2d0b7bafe6404e37da119083d321af8ab2fa8b71436d0900c896

Observation 1a6bd442-0692-44fd-b84e-9fd46dbab04f · outbound

This paper cites Leveraging Symmetry in RL-based Legged Locomotion Control.

Symmetries-enhanced Multi-Agent Reinforcement Learning Leveraging Symmetry in RL-based Legged Locomotion Control

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:47:01.382893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.028072Z digest=sha256:a91227f52b591ed0fe35be6be41fd5135da8154bc5313dc54dbe6730a134c507

Observation 840d98a1-a8be-4155-b8cd-96c7b3d75cd3 · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

Symmetries-enhanced Multi-Agent Reinforcement Learning Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:01.033185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:01.033185Z digest=sha256:7cbc0375aaf19cef5bedc975c3016d0a7efae18f6835e15e4535de3a7caf75e1

Observation 7a695fa7-575d-412f-9bf0-413b282fe47a · outbound

This paper cites Graph neural networks for multi-robot active information acquisition.

Symmetries-enhanced Multi-Agent Reinforcement Learning Graph neural networks for multi-robot active information acquisition

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.674401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.038148Z digest=sha256:402b48ffe268073956d6ada969482575dfa860cc01b0f9e98d0ddfe93102d36a

Observation 72839b2a-0ada-4228-8d02-44a3dc35c6d6 · outbound

This paper cites Coordinated deep reinforcement learners for traffic light control.

Symmetries-enhanced Multi-Agent Reinforcement Learning Coordinated deep reinforcement learners for traffic light control

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.658604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.042533Z digest=sha256:ae5e17c9412d36c51da88e1eb033b6cf495d19e1125b71ccdc5b88df95a507ee

Observation c8385171-4d59-4bcb-887c-ae69557a2cb0 · outbound

This paper cites Plannable Approximations to MDP Homomorphisms: Equivariance under Actions.

Symmetries-enhanced Multi-Agent Reinforcement Learning Plannable Approximations to MDP Homomorphisms: Equivariance under Actions

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:01.046793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:01.046793Z digest=sha256:65a772cb7fd65034c86e268bddfb709985d7d165979a9f9b4db3e1ec1f7dca77

Observation 9b132096-df71-4149-9a9e-4e01a0a709ad · outbound

This paper cites Mdp homomorphic networks: Group symmetries in reinforcement learning.

Symmetries-enhanced Multi-Agent Reinforcement Learning Mdp homomorphic networks: Group symmetries in reinforcement learning

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.643668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.051339Z digest=sha256:cd826a3a140487dfd77860755bcd887facf45262fbaaef268b3f7802a1cf77ad

Observation a785f71c-2e34-4d5e-90e5-ca2b1d84c0dc · outbound

This paper cites Multi-Agent MDP Homomorphic Networks.

Symmetries-enhanced Multi-Agent Reinforcement Learning Multi-Agent MDP Homomorphic Networks

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:01.055688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:01.055688Z digest=sha256:d216a28497a7fee92f0f8c11f317372488aee930b4cf6e116fba1a6456fd2d08

Observation 11adef32-6afb-43bf-ac60-7a0f9eb2254e · outbound

This paper cites Policy learning in SE(3) action spaces.

Symmetries-enhanced Multi-Agent Reinforcement Learning Policy learning in SE(3) action spaces

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:47:01.314436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.060217Z digest=sha256:7b4173fa5494b07449c7758d423fea89c6fbde9795cd11ccb2c5d3605a8a97cd

Observation 7cb23789-487a-4d31-ac6e-4985164f37f8 · outbound

This paper cites Equivariant q learning in spatial action spaces.

Symmetries-enhanced Multi-Agent Reinforcement Learning Equivariant q learning in spatial action spaces

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.629243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.065663Z digest=sha256:510fde06d008c9289f56b88640285a4196212c24b9b9ba56716c8d22bff9cceb

Observation 959171c6-b748-480c-bedd-625569602936 · outbound

This paper cites Wong, Robin Walters, and Robert Platt.

Symmetries-enhanced Multi-Agent Reinforcement Learning Wong, Robin Walters, and Robert Platt

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.614211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.070060Z digest=sha256:b10a1e9f9eb0e7ce8e87b4a49df188d534bbece2cee27afbfd15ce5e8386df78

Observation d4893557-fd1d-4bc9-a81d-c924285b2cb8 · outbound

This paper cites Koopman q-learning: Offline reinforcement learning via symmetries of dynamics.

Symmetries-enhanced Multi-Agent Reinforcement Learning Koopman q-learning: Offline reinforcement learning via symmetries of dynamics

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.599326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.074343Z digest=sha256:c7901dfc32721d6b9974ddbdd0cdf43f7a49bef3f8c93ef8abbf6dd86c4d6503

Observation 7185de4f-aa8d-45c7-adb3-dee2bd7e76c8 · outbound

This paper cites Mean field multi-agent reinforcement learning.

Symmetries-enhanced Multi-Agent Reinforcement Learning Mean field multi-agent reinforcement learning

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.584952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.078623Z digest=sha256:ecdd4c9c61b0c0a9dc74180a1e1d4c86cfd143026697cf2e8be593ec0f0f7826

Observation 2a50f385-d7be-4ece-a899-a496f9853c94 · outbound

This paper cites Equivariant reinforcement learning for quadrotor uav.

Symmetries-enhanced Multi-Agent Reinforcement Learning Equivariant reinforcement learning for quadrotor uav

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.569089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.083053Z digest=sha256:fca4152f4847684997c4276110e188c67de9bb8b902ca29997a2cf5d5a5e05b9

Observation bf0f64b6-a921-48bd-86c4-4e3ffdff583c · outbound

This paper cites Equivariant reinforcement learning for quadrotor uav.

Symmetries-enhanced Multi-Agent Reinforcement Learning Equivariant reinforcement learning for quadrotor uav

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:01.088037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:01.088037Z digest=sha256:6ecfdb8c29e0678b5f787acf1269fdf79201ee3039194050adf7d97b0fafd06e

Observation 013b7b8c-8d46-4d88-9f92-d770cc42dafe · outbound

This paper cites Equivariant reinforcement learning for quadrotor uav.

Symmetries-enhanced Multi-Agent Reinforcement Learning Equivariant reinforcement learning for quadrotor uav

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.555390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.092794Z digest=sha256:c62ec0ee613d08c1cc073f55e6c1c22c6a1186a35fc78399a341eed13c0f77d3

Observation 9062f354-fb0a-47ef-8e1f-fb70263d627c · outbound

This paper cites The surprising effectiveness of PPO in cooperative multi-agent games.

Symmetries-enhanced Multi-Agent Reinforcement Learning The surprising effectiveness of PPO in cooperative multi-agent games

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.539865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.097339Z digest=sha256:3d23bf61029b88eb690c9ee949fbf7928341ccd27484ce9fe58f4f554969dc97

Observation eb59130a-8b75-4c2d-91cd-06a1f6c1857b · outbound

This paper cites an unresolved cited work.

Symmetries-enhanced Multi-Agent Reinforcement Learning Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:47:02.523553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.102348Z digest=sha256:53defeaf15c1563daa5e327f2e855d866529f31b0a6dac106f1ef5b66dbe3c60

Observation 239cd46a-5fca-4ca0-abc9-1ed83c4f8f75 · outbound

This paper cites Sample Efficient Grasp Learning Using Equivariant Models.

Symmetries-enhanced Multi-Agent Reinforcement Learning Sample Efficient Grasp Learning Using Equivariant Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:01.112363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:47:01.112363Z digest=sha256:7e4a7f67319d38c4cdf48d3a18f7b4df28c96d9c650a887fb825fa1c5fef5856

Observation 70b6f87e-fdea-4826-9407-dd8e6111636c · outbound

This paper cites Zinkevich and Tucker R.

Symmetries-enhanced Multi-Agent Reinforcement Learning Zinkevich and Tucker R

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:02.508730Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:01.116935Z digest=sha256:0ca4a9f2e26a8f4dfb37a35f2cd6722e9361d2c0a015992897338730a71dae50

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