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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+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=sha256:85399db89e4a543057ece04237141aecb8e5f6444e1df674e72841e17f5e4acb

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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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:ff4e9cade6d519bbdf79e40619d0f422cebe03f26dbcb0900f4eddf315599884

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:b53d5cf3ef58b88f9c7476a1c41383bbd8886558afbb3d55e59010ebe96eae87

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:b4f0cedc2b1644456664c3c15fa7020777949a00c4c29af10ebed01346099e36

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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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:8eb42bd82ac517fa274847f7361b4dc7abf0ad993c690853414236cf3e8f9b1c

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=sha256:9eee5cb3b80b7c94407b158210db8bf9df006f4ea1db4fdb07990dd0f786c36f

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=sha256:7cf8431cbe0525211b167b313df17e4236fee268e4f5a4f4be7f53ce3426317f

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=sha256:4ad9a2f0190bcc26c9b9728aff770981a8365b935c757f135058a39ca2298ca6

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=sha256:052dcad0e7cc72ce503c244cf6f604fc0129d0c6cd64a9a9df3fe558c4f905f8

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=sha256:3b58d2e1094d4c7b76b7b6c705c662a87515492ade0c1551c968defebccb8095

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:bb7887aa61f0fb01a8194f84e91233b1010ced89b42dec9b7d604e6f2ca1a35b

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=sha256:24f4790a7d9cca492d7586ddefdcd8bf7c3a01ab0004222f7bfabdb8e003f336

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:bea3c31c2d18b392719c2821c27f619310f9344f1074c27bf8fdb209fe9e9524

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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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:3628d29e42685422d274d3cd826e8c9cf01aeca23179b2b4a213de9a60589a46

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=sha256:4b6da74136fbd4b9a18cb28af800db66f44e4f899f2e089b722a3bd5231b2946

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=sha256:3824635bc33c43cf49814400ea5f5acb99e9f27044e0535c3575718056fa1179

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=sha256:9c06220fcaff7f375bc05da7d3298859f8c8ec0c529eae46961ddea83a812bc3

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:c83d7bde90d2018997beaca1eb7648bc3e73ed4bb877d4bffe41dcf672fa1ab4

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=sha256:2d085f39503d68bc8c05b3e9894a5cb3d8f9bf8ba151507f0da9d3558127c14d

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=sha256:850127834a2a1ca9250f0ecb1e4d175f100a0d7c8c22e80302fd6d639cfcd0f4

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:b5b425a95afc9d3cc5dd0a38d1b5ffa50f8222bf038c70a2d7491fea7e5253e2

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=sha256:119b2a52764c7d57651f90542a23b378f785620a156ac2f5bb651415baef7ecd

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=sha256:170e0ccc21286c03d485865bdbc673c9406afeed48cca33c3d6738a20c07aa5e

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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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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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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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=sha256:77e0a7c650bc64a2397d6b2ff0a69bd9fec5306d98096ac745dddfe3e47967ab

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=sha256:8d6ca046ed50ccc69a4dc7d5771433d4761d6e90519d8ed4fba08c12b991da97

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:d8270068e9628285db6cec567dd47edb7ac663d95cf5b644fa266e01dd543e00

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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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=sha256:279a84da87414739ef02aac2725cbf022a2ab23224bbfd116984c5ea853ced54

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=sha256:03d17ca021bc6f06dbe6d3b9e65a60ae07741de95fd2ab67f1e568fbfdeaea07

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=sha256:84559ebdbeac9d9cf44ff7e70421857f7cbc4e0ac84cae5048573a6af3570b1b

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=sha256:3df01e98c02610279ef2a15a7036fe75a7c453a134b0ea09f3d85b607f8fbf3c

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:c94aeb6c7d4515e9b0b5c693dca38ace633af3cfd6f75ff5ffa1f8e604a78487

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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source=pdf_text observed=2026-07-11T10:43:25.025812Z digest=sha256:ed45b5db83d5f6b66f35caf135ae5745f269acac120d216f88ddabdc5aa7a4ea

Pith citing papers

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