Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate. - Fan-Ming Luo; Zuolin Tu; Zefang Huang; Yang Yu 001 (NeurIPS, 2024)

NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios. - Songyi Gao; Zuolin Tu; Rong-Jun Qin; Yi-Hao Sun; Xiong-Hui Chen; Yang Yu 001 (CoRR, 2025)