Discrete Flow Matching for Offline-to-Online Reinforcement Learning

arXiv:2605.12379 · cs.LG, cs.AI · Submitted 2026-05-12 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-05-12

Updated: 2026-10-12

Terminology

• Flow Matching — 3× in this paper · explained in 10 episodes
• Action Space — 2× in this paper · explained in 1 episode
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Online Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes

Sources

• D4RL: Datasets for Deep Data-Driven Reinforcement Learning
• IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
• Flow Matching for Offline Reinforcement Learning with Discrete Actions
• Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
• Flow Matching Guide and Code
• Rectified Flow: A Marginal Preserving Approach to Optimal Transport
• Flow Matching Policy Gradients
• AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
• Proximal Policy Optimization Algorithms
• MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments
• Fine-Tuning Language Models from Human Preferences

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