Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Experience Replay with Random Reshuffling
Yasuhiro Fujita
Experience replay is a key component in reinforcement learning for stabilizing learning and improving sample efficiency. Its typical implementation samples transitions with replace…
cs.LG2024
Entropy Controllable Direct Preference Optimization
Motoki Omura, Yasuhiro Fujita, Toshiki Kataoka
In the post-training of large language models (LLMs), Reinforcement Learning from Human Feedback (RLHF) is an effective approach to achieve generation aligned with human preference…