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Paper Citation Record · LEDGER

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.04972.

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

pith.paper-citation-record.v1
2607.04972 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T10:43:25.025812Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation e16b5a42-9148-45b4-a6b8-847fc45ab41b · outbound

This paper cites Search and pursuit-evasion in mobile robotics: A survey,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Search and pursuit-evasion in mobile robotics: A survey,

Reference 1

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Observation e6b597ba-1823-4804-b67f-bbcdd8ab5a7b · outbound

This paper cites DACOOP-A: Decentralized adaptive cooperative pursuit via attention,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales DACOOP-A: Decentralized adaptive cooperative pursuit via attention,

Reference 2

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:a5131f4ee5e7ca3c48264bf8d0f2ecc5a20c44bb58b38017f0215e2ffe33d16b

Observation 658df48c-05c3-424e-976b-15b3e2c2ab28 · outbound

This paper cites Collaborative multi-robot search and rescue: Planning, coordination, perception, and active vision,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Collaborative multi-robot search and rescue: Planning, coordination, perception, and active vision,

Reference 3

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Observation 068f9b89-4aab-49a6-b9d0-b9beaa34c791 · outbound

This paper cites Multi- agent actor-critic for mixed cooperative-competitive environments,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Multi- agent actor-critic for mixed cooperative-competitive environments,

Reference 4

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:f7cd0af516443197266b126ef833849db1a715f97d2be05c895628c22c3fed23

Observation b972f860-77a4-4378-b02a-efe1a972f6a0 · outbound

This paper cites QMIX: Monotonic value function factorisation for decen- tralised multi-agent reinforcement learning,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales QMIX: Monotonic value function factorisation for decen- tralised multi-agent reinforcement learning,

Reference 5

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:f8623e45a0a6e4dc0307647601229618e47e4af24d29c1a0a1eac5a7045d1826

Observation 8966e508-54c3-4200-820c-04af4c3d03f3 · outbound

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

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales The surprising effectiveness of PPO in cooperative multi-agent games,

Reference 6

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Observation 9bc2f9d1-4151-489f-90ba-1c9bb418fc0b · outbound

This paper cites “Other-Play.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales “Other-Play

Reference 7

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:11434b40a5d81c32c4fd581190ba37832c83ea39863cb352ded9fa2a4ddb4b08

Observation d42ea6f5-831b-4822-afdd-6e89383ead2d · outbound

This paper cites Towards optimally decentralized multi-robot collision avoidance via deep rein- forcement learning,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Towards optimally decentralized multi-robot collision avoidance via deep rein- forcement learning,

Reference 8

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:f77ed9e61156522f8c4c90052309da26223b13361ffd05a178f3f613b27787e3

Observation 8066fd78-7603-4823-8191-6b671d70c045 · outbound

This paper cites Graph neural networks for decentralized multi-robot path planning,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Graph neural networks for decentralized multi-robot path planning,

Reference 9

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Observation 7a3056d5-8f8d-47f8-9ce3-ed145dee2c58 · outbound

This paper cites Coop- erative open-ended learning framework for zero-shot coordination,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Coop- erative open-ended learning framework for zero-shot coordination,

Reference 10

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Observation 3cee92f4-6fa1-4d9f-a813-54e29727511d · outbound

This paper cites Ad hoc autonomous agent teams: Collaboration without pre-coordination,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Ad hoc autonomous agent teams: Collaboration without pre-coordination,

Reference 11

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Observation 8be13f83-bff0-4236-9093-824d8976b4e6 · outbound

This paper cites Open ad hoc teamwork with cooperative game theory,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Open ad hoc teamwork with cooperative game theory,

Reference 12

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Observation b7ceaaaa-bda8-4b16-aa3f-e9a61e21d6e1 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 13

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:7a4d1282a28b8b1c699d87fa15a176e6e4be406e78f09dd43be5b0ec3ad948e1

Observation 36aa577c-951d-4439-94fe-850bac33fd20 · outbound

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

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales The surprising effectiveness of ppo in cooperative, multi-agent games,

Reference 14

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Observation efea5242-a4aa-4762-bd80-0e4856c97610 · outbound

This paper cites Population Based Training of Neural Networks.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Population Based Training of Neural Networks

Reference 15

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Observation 08f7a635-8574-415b-bb63-d7d8e3ff8852 · outbound

This paper cites Collaborating with humans without human data,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Collaborating with humans without human data,

Reference 16

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Observation 550ce070-6e7f-4ece-87b1-c7e89f93f2d5 · outbound

This paper cites Multi-robot system based on model of wolf hunting behavior to emulate wolf and elk interactions,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Multi-robot system based on model of wolf hunting behavior to emulate wolf and elk interactions,

Reference 17

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Observation 603f533d-3c9a-4659-88d5-3465b6bfb963 · outbound

This paper cites Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computa- tional simulations,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computa- tional simulations,

Reference 18

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Observation 37f6392c-b160-4a89-890a-022e20ea6777 · outbound

This paper cites Collective Predation and Escape Strategies,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Collective Predation and Escape Strategies,

Reference 19

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Observation 45eb46a6-0001-4eae-bdb0-49c0e5971678 · outbound

This paper cites Group chasing tactics: how to catch a faster prey,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Group chasing tactics: how to catch a faster prey,

Reference 20

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:5c053294f351237fcb73c58f4b3d1e9b38cdc87da1423feae9729862fd75d1f8

Observation ea5de664-cdc8-48f0-918c-104f7c497e39 · outbound

This paper cites Intercepting Rogue Robots: An Algorithm for Capturing Multiple Evaders With Multiple Pursuers,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Intercepting Rogue Robots: An Algorithm for Capturing Multiple Evaders With Multiple Pursuers,

Reference 21

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:316c0090bebb462135f806adf5a40b14e85bc3f95e705d5e2f988d1a693f9a20

Observation 8917f5b7-706a-48a4-b174-61408c92ccdc · outbound

This paper cites A survey of the pursuit–evasion problem in swarm intelligence,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales A survey of the pursuit–evasion problem in swarm intelligence,

Reference 22

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:b3b9b485469272c7b6f3526e5fca3fa18c653591a48b32a1e2313ce4bf3a54be

Observation 485e35e6-9e26-424b-b68e-b4417c19d9db · outbound

This paper cites A Geometric Approach for the Cooperative Two-Pursuer One-Evader Differential Game,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales A Geometric Approach for the Cooperative Two-Pursuer One-Evader Differential Game,

Reference 23

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:2ab99daa3f7ae0abf2c78f1d9bc78f4223639de90af526d8d8e12a67ab0e992f

Observation f19bd83d-bec5-4225-b671-77369679f958 · outbound

This paper cites Cooperative Multiple Pursuers against a Single Evader,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Cooperative Multiple Pursuers against a Single Evader,

Reference 24

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:5fe9a8b52c28228beed9098af722ec507f97d26e64564a890f2874e5437ba69c

Observation 2e16f37e-4997-4e0c-bf0d-b7f62ba7ff4b · outbound

This paper cites A Two-on-One Linear Pursuit–Evasion Game with Bounded Controls,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales A Two-on-One Linear Pursuit–Evasion Game with Bounded Controls,

Reference 25

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:5c5a587fd7d519636df590343a3e0a7648d5233f0d08f22e2bc21af21c27f9f8

Observation 6a88b778-fa21-48f1-8082-bbf49f84073a · outbound

This paper cites Hysteretic Q-learning : an algorithm for Decentralized Reinforcement Learning in Cooperative Multi-Agent Teams,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Hysteretic Q-learning : an algorithm for Decentralized Reinforcement Learning in Cooperative Multi-Agent Teams,

Reference 26

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:54c3ad230d67d16297d7603c7a7631eb2b620f99e39fb1cdc5af4e36e1c44cb5

Observation 5c59a256-f9ad-4336-9828-0dc80d7db62f · outbound

This paper cites Robust Multi- Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Robust Multi- Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient,

Reference 27

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Observation 39fd1405-0a90-4419-8d67-375674012ab4 · outbound

This paper cites Cascaded Attention: Adaptive and Gated Graph Attention Network for Multiagent Reinforcement Learning,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Cascaded Attention: Adaptive and Gated Graph Attention Network for Multiagent Reinforcement Learning,

Reference 28

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:c1c82dd004dcbb22956e0a088014f2b31a0f29f6b825281f9c132382cab7918a

Observation ea714f4b-4ec8-482e-ace8-5a814c2fa01d · outbound

This paper cites Decentralized Multi-Agent Pursuit Using Deep Rein- forcement Learning,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Decentralized Multi-Agent Pursuit Using Deep Rein- forcement Learning,

Reference 29

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:f0108f7bd710dace233790e8c5e5d63d0986f3cf043bba44ad3e359d6044367d

Observation f650c2ed-1757-4344-8510-da5066023312 · outbound

This paper cites Multi-agent rein- forcement learning by the actor-critic model with an attention interface,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Multi-agent rein- forcement learning by the actor-critic model with an attention interface,

Reference 30

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:9e8fb440f881d5c3f64e78e2eb6550a8fabfa9391c9837afbe34d0775df6c762

Observation 6daddc6f-0865-4a17-a974-66497b5a79c1 · outbound

This paper cites A Dual Curriculum Learning Framework for Multi-UAV Pursuit-Evasion in Diverse Environments.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales A Dual Curriculum Learning Framework for Multi-UAV Pursuit-Evasion in Diverse Environments

Reference 31

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:5a6c4a7512d682198f6cbcb3c17233a87a2e0c343d28189a68691cd151ca3050

Observation abd6e735-0cfb-4475-9079-3d3640f4aae8 · outbound

This paper cites Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning

Reference 32

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:4f76de8b6e658d898b667d3c17384d302bb221cb86832778de6165d65067be0a

Observation 24d2343c-1ccf-4250-a835-6e40bda9ecae · outbound

This paper cites Making friends on the fly: Cooperating with new teammates,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Making friends on the fly: Cooperating with new teammates,

Reference 33

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:d9ec38f5a5510820d1aacd73afb2e34e5f649f48df1920b22fe04a3394863652

Observation bb979082-79ad-4365-ba17-8af37b6f12e2 · outbound

This paper cites A general learning framework for open ad hoc teamwork using graph- based policy learning,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales A general learning framework for open ad hoc teamwork using graph- based policy learning,

Reference 34

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:8c91639497b075fab20b188e9d3e50e38b803d82f178cbaadd2b36169da5fd20

Observation a6674543-afef-4fff-ba81-4c617c245a0e · outbound

This paper cites Open ad hoc teamwork with cooperative game theory,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Open ad hoc teamwork with cooperative game theory,

Reference 35

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:d45ebc64867e0914d1406ff00494be0e30a460e8e2b8d3806b47e10d466e5154

Observation 243a752d-4cb7-4358-9456-1a5ffc95d7a7 · outbound

This paper cites Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork

Reference 36

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:03d778af67957f64b7f86e68ca14e801b6bf45d60d8edd94f5105bee1efef373

Observation 50cc09fc-89e0-4aa5-b321-6570eebc6381 · outbound

This paper cites Off-belief learning,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Off-belief learning,

Reference 37

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Observation d162599a-35f9-4d1f-943e-7155abebc5fa · outbound

This paper cites Maximum entropy population-based training for zero- shot human-AI coordination,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Maximum entropy population-based training for zero- shot human-AI coordination,

Reference 38

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:4c7c7fe07cb53c833b5e80931e11fd0649e57e532d480dae2b66402a4ab59880

Observation bd941b0a-8b51-4733-bb9f-6b10a470bfe2 · outbound

This paper cites Coop- erative open-ended learning framework for zero-shot coordination,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Coop- erative open-ended learning framework for zero-shot coordination,

Reference 39

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:810a5f6a4d549f7c34e0e333a049084fdec8b49fc49c4f8c615dced5a80cc53c

Observation e00960ba-7a93-48ed-b16d-62f5f08aa7f4 · outbound

This paper cites Tackling cooperative incompatibility for zero-shot human- ai coordination,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Tackling cooperative incompatibility for zero-shot human- ai coordination,

Reference 40

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:b433545bee6272bc0ef21e86e22610fd2be0a0556c22173461ac93825b11d146

Observation 8a8aba52-83ff-44f9-a575-360923521f8a · outbound

This paper cites UPDeT: Universal multi- agent reinforcement learning via policy decoupling with transformers,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales UPDeT: Universal multi- agent reinforcement learning via policy decoupling with transformers,

Reference 41

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:819ca881ad34f9dd21b4ab98623fdd692a04e2258df5a88231f1520e3bc1b43b

Observation bcc3eae6-147c-43b5-be8a-b5fe43e1bf4b · outbound

This paper cites Multi-agent reinforcement learning is a sequence modeling problem,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Multi-agent reinforcement learning is a sequence modeling problem,

Reference 42

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:7ea466f627be451a03d921c2a48867452e562e87997d8f67ed88d7070d5f2c09

Observation 3c0dd14f-fee9-4c99-9938-2938f493f2d8 · outbound

This paper cites Evo- lutionary population curriculum for scaling multi-agent reinforcement learning,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Evo- lutionary population curriculum for scaling multi-agent reinforcement learning,

Reference 43

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:3e8196f903163f3bffae060ff5071719ee6695b908f203ca5d4f4b6e5cc06f8d

Observation 68903f1b-e3a3-4a74-a6b1-225164f68707 · outbound

This paper cites Skilled population curriculum for multi-agent reinforcement learning,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Skilled population curriculum for multi-agent reinforcement learning,

Reference 44

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:ef9772c4406e2a03cd068027068aefc103ffff61fa71089430ec74247fd9024f

Observation b36fd69c-5302-4fdd-ab64-62ad9b9c7bdb · outbound

This paper cites Maximum entropy population-based training for zero-shot human-ai coordination,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Maximum entropy population-based training for zero-shot human-ai coordination,

Reference 45

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:b7b43ee4572b585d78786a4db4796155517c333bfe7345fbaf97f24b900dd365

Observation 53cb1858-cad6-4585-b6d9-e24c9404ac91 · outbound

This paper cites Group chasing tactics: How to catch a faster prey,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Group chasing tactics: How to catch a faster prey,

Reference 46

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:026ac39dd6bef5a8caa95b82091a6aa97a85921893a6c143059df88bb3166d04

Observation ae318e2c-0644-40fa-b990-9f95f795e37c · outbound

This paper cites Dueling network architectures for deep reinforcement learning,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Dueling network architectures for deep reinforcement learning,

Reference 47

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:d37cfa058d3dfd1f5dc5981cf67f5973695ffe4bc89d7cd2c6a55d980722f9ad

Observation d057c6bf-4ce2-48b1-bd94-6a90aab82750 · outbound

This paper cites Equivalence Between Policy Gradients and Soft Q-Learning.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Equivalence Between Policy Gradients and Soft Q-Learning

Reference 48

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:22e04354a2611583e20f0d464e1cdf4394c9bc35571160d7ec593a44ea332830

Observation 1d59b69a-f06b-4e63-80ae-62c5a20b383a · outbound

This paper cites On the utility of learning about humans for human- ai coordination,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales On the utility of learning about humans for human- ai coordination,

Reference 49

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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:4d7c66658c824f9359210edd8c6ce1d82e14729e18b0bc6c0574d839cbe454f5

Observation 1f0c71be-012c-4587-a940-bb79cea49dc4 · outbound

This paper cites Collaborating with humans without human data,.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Collaborating with humans without human data,

Reference 50

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Pith citing papers

No inbound Pith citation observations are available.