Li, Zechu

8 publications

ICML 2025 DIME: Diffusion-Based Maximum Entropy Reinforcement Learning Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann

ICLRW 2025 Diffusion-Based Maximum Entropy Reinforcement Learning Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann

CoRL 2025 Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation Zechu Li, Yufeng Jin, Daniel Ordonez-Apraez, Claudio Semini, Puze Liu, Georgia Chalvatzaki

NeurIPS 2024 Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki

ICML 2023 Parallel $q$-Learning: Scaling Off-Policy Reinforcement Learning Under Massively Parallel Simulation Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal

ICLRW 2023 Stationary Deep Reinforcement Learning with Quantum K-Spin Hamiltonian Regularization Xiao-Yang Liu, Zechu Li, Shixun Wu, Xiaodong Wang

NeurIPS 2022 Homomorphic Matrix Completion Xiao-Yang Liu, Zechu Li, Xiaodong Wang

NeurIPSW 2021 ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning Xiao-Yang Liu, Zechu Li, Zhuoran Yang, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo, Michael Jordan