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cs.LG2026
RSIGym: A Flexible Environment for Recursive Self-Improvement
Fanqing Meng, Lingxiao Du, Haocheng Lu +6
Recursive self-improvement requires carrying accepted changes into later improvement cycles, while studying agent-proposed changes also requires substantial research infrastructure…
cs.LG2024
Offline Trajectory Optimization for Offline Reinforcement Learning
Ziqi Zhao, Zhaochun Ren, Liu Yang +6
Offline reinforcement learning (RL) aims to learn policies without online explorations. To enlarge the training data, model-based offline RL learns a dynamics model which is utiliz…