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Workshop
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A Multi-agent Reinforcement Learning Study of Evolution of Communication and Teaching under Libertarian and Utilitarian Governing Systems
Aslan Satary Dizaji
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Workshop
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A Causality-Inspired Spatial-Temporal Return Decomposition Approach for Multi-Agent Reinforcement Learning
Yudi Zhang · Yali Du · Biwei Huang · Meng Fang · Mykola Pechenizkiy
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Poster
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Thu 16:30
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Learning to Assist Humans without Inferring Rewards
Vivek Myers · Evan Ellis · Sergey Levine · Benjamin Eysenbach · Anca Dragan
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Poster
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Wed 16:30
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Learning to Cooperate with Humans using Generative Agents
Yancheng Liang · Daphne Chen · Abhishek Gupta · Simon Du · Natasha Jaques
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Workshop
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MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment
Ziyan Wang · Yali Du · Yudi Zhang · Meng Fang · Biwei Huang
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Poster
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Wed 16:30
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WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
Claire Bizon Monroc · Ana Busic · Donatien Dubuc · Jiamin Zhu
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Poster
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Wed 11:00
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Opponent Modeling based on Subgoal Inference
XiaoPeng Yu · Jiechuan Jiang · Zongqing Lu
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Workshop
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Thinking Fast and Laterally: Multi-Agentic Approach for Reasoning about Uncertain Emerging Events
Stefan Dernbach · Alejandro Michel · Khushbu Agarwal · Christopher Brissette · geetika gupta · Sutanay Choudhury
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Poster
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Wed 11:00
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Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems
Dingbang Liu · Shohei Kato · Wen Gu · Fenghui Ren · Jun Yan · Guoxin Su
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Workshop
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Variational Inequality Perspective and Optimizers for Multi-Agent Reinforcement Learning
Baraah Adil Mohammed Sidahmed · Tatjana Chavdarova
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Workshop
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An Efficient Open World Benchmark for Multi-Agent Reinforcement Learning
Eric Ye · Natasha Jaques
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Poster
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Fri 11:00
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Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
Dongsu Lee · Minhae Kwon
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