Zechu Li

According to our database, Zechu Li authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation.

Zechu Li, Yufeng Jin, Daniel Felipe Ordoñez Apraez, Claudio Semini, Puze Liu, Georgia Chalvatzaki

CoRR, May, 2025

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning.

Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palanicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann

CoRR, February, 2025

2024

Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient.

Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki

CoRR, 2024

Reconciling Reality through Simulation: A Real-To-Sim-to-Real Approach for Robust Manipulation.

Marcel Torne Villasevil, Anthony Simeonov, Zechu Li, April Chan, Tao Chen, Abhishek Gupta, Pulkit Agrawal

Proceedings of the Robotics: Science and Systems XX, 2024

2023

Social Learning for Sequential Driving Dilemmas.

Xu Chen, Xuan Di, Zechu Li

Games, 2023

Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation.

Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal

Proceedings of the International Conference on Machine Learning, 2023

2022

Social Learning In Markov Games: Empowering Autonomous Driving.

Xu Chen, Zechu Li, Xuan Di

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

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 I. Jordan

CoRR, 2021

FinRL-podracer: high performance and scalable deep reinforcement learning for quantitative finance.

Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021