Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning
Download Abstract: Setting up a well-designed reward fu …
Download Abstract: Setting up a well-designed reward fu …
Download Abstract: Large sequence model (SM) such as GP …
Multi-Agent Reinforcement Learning is A Sequence Modeling Problem 查看全文 »
Download Abstract: This paper presents a multi-agent re …
Proactive Multi-Camera Collaboration for 3D Human Pose Estimation 查看全文 »
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Constrained Update Projection Approach to Safe Policy Optimization 查看全文 »
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Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning 查看全文 »
Download Abstract: We introduce the Multi-Agent Trackin …
MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control 查看全文 »
Download Abstract: Object Rearrangement is to move obje …
TarGF: Learning Target Gradient Field for Object Rearrangement 查看全文 »
Download Abstract: Efficient exploration is important f …
LIGS:Learning Intrinstic-reward Generation Selection for Multi-Agent Learning 查看全文 »
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Multi-agent Modeling of Crowd Dynamics under Mass Shooting Cases 查看全文 »
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ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind 查看全文 »