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Multi-agent reinforcement learning (MARL) methods struggle with the non-stationarity of multi-agent systems and fail to adaptively learn online when tested with novel agents.
A theory of pavlovian conditioning: Variations in the effectiveness of reinforcement and non-reinforcement
Robert A Rescorla · 1972
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Why language matters for theory of mind
Janet Wilde Astington and Jodie A Baird · 2005
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The interface of language and theory of mind
Jill G de Villiers · 2007
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Action understanding as inverse planning
Chris L Baker, Rebecca Saxe, and Joshua B Tenenbaum · 2009
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Value learning through reinforcement: the basics of dopamine and reinforcement learning
Nathaniel D Daw and Philippe N Tobler · 2014
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Pragmatic language interpretation as probabilistic inference
Noah D Goodman and Michael C Frank · 2016
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Multi-agent actor-critic for mixed cooperative-competitive environments
Ryan Lowe, Yi I Wu, Aviv Tamar, Jean Harb, OpenAI Pieter Abbeel, and Igor Mordatch · 2017
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Machine theory of mind
Neil Rabinowitz, Frank Perbet, Francis Song, Chiyuan Zhang, SM Ali Eslami, and Matthew Botvinick · 2018
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Options as responses: Grounding behavioural hierarchies in multi-agent reinforcement learning
Alexander Vezhnevets, Yuhuai Wu, Maria Eckstein, Rémi Leblond, and Joel Z Leibo · 2020
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The role (s) of language in theory of mind
Jill G de Villiers · 2021
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Tom2c: Target-oriented multi-agent communication and cooperation with theory of mind
Yuanfei Wang, Fangwei Zhong, Jing Xu, and Yizhou Wang · 2021
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John P Agapiou, Alexander Sasha Vezhnevets, Edgar A Duéñez-Guzmán, Jayd Matyas, Yiran Mao, Peter Sunehag, Raphael Köster, Udari Madhushani, Kavya Kopparapu, Ramona Comanescu, et al · 2022
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Inner monologue: Embodied reasoning through planning with language models
Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, et al · 2022
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Foundations of theory of mind and its development in early childhood
Hannes Rakoczy · 2022
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Symmetric machine theory of mind
Melanie Sclar, Graham Neubig, and Yonatan Bisk · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, et al · 2023
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Sayplan: Grounding large language models using 3d scene graphs for scalable task planning
Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian Reid, and Niko Suenderhauf · 2023
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Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang · 2023
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Cognitive architectures for language agents
Theodore R Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas L Griffiths · 2023
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2022
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Star: Self-taught reasoner bootstrapping reasoning with reasoning
Eric Zelikman, Jesse Mu, Noah D Goodman, and Yuhuai Tony Wu · 2022
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Evaluating large language models in theory of mind tasks
Michal Kosinski · 2023
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Semantically aligned task decomposition in multi-agent reinforcement learning
Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Bo Jin, and Hongyuan Zha · 2023
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Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein · 2023
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Toolllm: Facilitating large language models to master 16000+ real-world apis
Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, et al · 2023
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
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Deep multiagent reinforcement learning: Challenges and directions
Annie Wong, Thomas Bäck, Anna V Kononova, and Aske Plaat · 2023
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Understanding social reasoning in language models with language models
Kanishk Gandhi, Jan-Philipp Fränken, Tobias Gerstenberg, and Noah Goodman · 2024
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Representation learning for efficient deep multi-agent reinforcement learning
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A survey on large language model based autonomous agents
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