Zechu Li

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Temporal Difference

Policy Gradient

Reinforcement Learning

Massively Parallel

Top Venues

Publications

Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient. CoRR (2024)
Marcel Torne, Anthony Simeonov, Zechu Li, April Chan, Tao Chen, Abhishek Gupta, Pulkit Agrawal
Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation. CoRR (2024)
Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal
Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation. ICML (2023)
Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal
Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation. CoRR (2023)
Xu Chen, Xuan Di, Zechu Li
Social Learning for Sequential Driving Dilemmas. Games 14 (3) (2023)
Xu Chen, Zechu Li, Xuan Di
Social Learning In Markov Games: Empowering Autonomous Driving. IV (2022)
Xiao-Yang Liu, Zechu Li, Zhuoran Yang, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo, Michael I. Jordan
ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning. CoRR (2021)
Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo
FinRL-podracer: high performance and scalable deep reinforcement learning for quantitative finance. ICAIF (2021)
Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo
FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance. CoRR (2021)