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DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
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The code is available in https://github.com/cathyhxh/DIFFER.
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Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
Neural Information Processing Systems
Each client pulls an arm and communicates with neighbors based on the graph provided by the environment.
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Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems
Neural Information Processing Systems
While agents' learning is data-driven, sampling from millions
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Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making Manling Li
Neural Information Processing Systems
We aim to evaluate Large Language Models (LLMs) for embodied decision making.
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