arXiv AI
Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport
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Dual-Flow Reinforcement Learning with State-Aware Exploration
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Jun 9
Reinforcement Learning for Flow-Matching Policies with Density Transport
arXiv:2606. 08602v1 Announce Type: cross Abstract: We present an online reinforcement learning (RL) algorithm for fine-tuning flow-matching policies in continuous-control problems.
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VGFM: Expressive Robot Policies via Dense Value Guidance in Flow Matching
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Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions
arXiv:2601. 22211v2 Announce Type: replace Abstract: Reinforcement learning (RL) with combinatorial action spaces remains challenging because feasible action sets are exponentially large and governed by complex feasibility constraints, making direct policy parameterization impractical.
arXiv AI
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Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies
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