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Neural Recursive Belief States in Multi-Agent Reinforcement Learning

Neural Recursive Belief States in Multi-Agent Reinforcement Learning

3 February 2021
Pol Moreno
Edward Hughes
Kevin R. McKee
Bernardo Avila-Pires
T. Weber
ArXiv (abs)PDFHTML

Papers citing "Neural Recursive Belief States in Multi-Agent Reinforcement Learning"

13 / 13 papers shown
Title
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
Andreas Kontogiannis
Konstantinos Papathanasiou
Yi Shen
Giorgos Stamou
Michael M. Zavlanos
G. Vouros
66
0
0
08 May 2025
Belief States for Cooperative Multi-Agent Reinforcement Learning under Partial Observability
Belief States for Cooperative Multi-Agent Reinforcement Learning under Partial Observability
Paul J. Pritz
K. Leung
97
0
0
11 Apr 2025
RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code
Dhruv Gautam
Spandan Garg
Jinu Jang
Neel Sundaresan
Roshanak Zilouchian Moghaddam
LLMAGLRM
124
4
0
10 Mar 2025
Efficient Adaptation in Mixed-Motive Environments via Hierarchical
  Opponent Modeling and Planning
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
Yizhe Huang
Hoang Trung-Dung
Fanqi Kong
Yaodong Yang
Song-Chun Zhu
Xue Feng
82
3
0
12 Jun 2024
The Role of Higher-Order Cognitive Models in Active Learning
The Role of Higher-Order Cognitive Models in Active Learning
Oskar Keurulainen
G. Alcan
Ville Kyrki
122
0
0
09 Jan 2024
EMOTE: An Explainable architecture for Modelling the Other Through
  Empathy
EMOTE: An Explainable architecture for Modelling the Other Through Empathy
M. Senadeera
Thommen Karimpanal George
Sunil R. Gupta
Stephan Jacobs
Santu Rana
45
1
0
01 Jun 2023
Policy Evaluation in Decentralized POMDPs with Belief Sharing
Policy Evaluation in Decentralized POMDPs with Belief Sharing
Mert Kayaalp
Fatima Ghadieh
Ali H. Sayed
91
3
0
08 Feb 2023
Developing, Evaluating and Scaling Learning Agents in Multi-Agent
  Environments
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
I. Gemp
Thomas W. Anthony
Yoram Bachrach
Avishkar Bhoopchand
Kalesha Bullard
...
Florian Strub
Andrea Tacchetti
Eugene Tarassov
Zhe Wang
K. Tuyls
LLMAGAI4CE
88
3
0
22 Sep 2022
Learning Theory of Mind via Dynamic Traits Attribution
Learning Theory of Mind via Dynamic Traits Attribution
D. Nguyen
Phuoc Nguyen
Hung Le
Kien Do
Svetha Venkatesh
T. Tran
56
5
0
17 Apr 2022
Few-shot Language Coordination by Modeling Theory of Mind
Few-shot Language Coordination by Modeling Theory of Mind
Hao Zhu
Graham Neubig
Yonatan Bisk
103
36
0
12 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions
Deep Multiagent Reinforcement Learning: Challenges and Directions
Annie Wong
Thomas Bäck
Anna V. Kononova
Aske Plaat
AI4CE
116
97
0
29 Jun 2021
SIDE: State Inference for Partially Observable Cooperative Multi-Agent
  Reinforcement Learning
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Yunru Bai
Dapeng Li
Bin Zhang
Guoliang Fan
74
9
0
13 May 2021
F2A2: Flexible Fully-decentralized Approximate Actor-critic for
  Cooperative Multi-agent Reinforcement Learning
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning
Wenhao Li
Bo Jin
Xiangfeng Wang
Junchi Yan
H. Zha
106
21
0
17 Apr 2020
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