Zechu Li - RankMe

14 papers A* 2C 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	DIME: Diffusion-Based Maximum Entropy Reinforcement Learning. ICML Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann
2025	J	`jnl`	DIME:Diffusion-Based Maximum Entropy Reinforcement Learning. CoRR Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palanicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann
2025	J	`jnl`	Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation. CoRR Zechu Li, Yufeng Jin, Daniel Felipe Ordoñez Apraez, Claudio Semini, Puze Liu, Georgia Chalvatzaki
2025	J	`jnl`	SE(3)-PoseFlow: Estimating 6D Pose Distributions for Uncertainty-Aware Robotic Manipulation. CoRR Yufeng Jin, Niklas Funk, Vignesh Prasad, Zechu Li, Mathias Franzius, Jan Peters, Georgia Chalvatzaki
2024	J	`jnl`	Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient. CoRR Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki
2024	—	`conf`	Reconciling Reality through Simulation: A Real-To-Sim-to-Real Approach for Robust Manipulation. Robotics: Science and Systems Marcel Torne Villasevil, Anthony Simeonov, Zechu Li, April Chan, Tao Chen, Abhishek Gupta, Pulkit Agrawal
2024	J	`jnl`	Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation. CoRR Marcel Torne, Anthony Simeonov, Zechu Li, April Chan, Tao Chen, Abhishek Gupta, Pulkit Agrawal
2023	A*	`conf`	Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation. ICML Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal
2023	J	`jnl`	Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation. CoRR Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal
2023	J	`jnl`	Social Learning for Sequential Driving Dilemmas. Games Xu Chen, Xuan Di, Zechu Li
2022	C	`conf`	Social Learning In Markov Games: Empowering Autonomous Driving. IV Xu Chen, Zechu Li, Xuan Di
2021	J	`jnl`	ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning. CoRR Xiao-Yang Liu, Zechu Li, Zhuoran Yang, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo, Michael I. Jordan
2021	J	`jnl`	FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance. CoRR Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo
2021	—	`conf`	FinRL-podracer: high performance and scalable deep reinforcement learning for quantitative finance. ICAIF Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo