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20222026
most citedRisk Perspective Exploration in Distributional Reinforcement Learning

1 citations · 2 across the 9 of their papers we have counts for

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cs.LG2024

Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning

Jihwan Oh, Sungnyun Kim, Gahee Kim +2

Offline multi-agent reinforcement learning (MARL) is increasingly recognized as crucial for effectively deploying RL algorithms in environments where real-time interaction is impra…

cs.LG2024

Preference Alignment with Flow Matching

Minu Kim, Yongsik Lee, Sehyeok Kang +3

We present Preference Flow Matching (PFM), a new framework for preference-based reinforcement learning (PbRL) that streamlines the integration of preferences into an arbitrary clas…