Scholar
Zechu Li
Google Scholar ID: FI_6by0AAAAJ
Columbia University, MIT
Reinforcement Learning
Robotics
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
266
H-index
7
i10-index
6
Publications
12
Co-authors
7
list available
Contact
Email
zl2993@columbia.edu
GitHub
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LinkedIn
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Publications
3 items
SE(3)-PoseFlow: Estimating 6D Pose Distributions for Uncertainty-Aware Robotic Manipulation
2025
Cited
0
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation
2025
Cited
0
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning
2025
Cited
0
Resume (English only)
Academic Achievements
Published 'Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation' at CoRL 2025
Published 'DIME: Diffusion-Based Maximum Entropy Reinforcement Learning' at ICML 2025
Published 'Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient' at NeurIPS 2024
Published 'Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation' at Robotics: Science and Systems (RSS) 2024
Published 'Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation' at ICML 2023
Published 'Homomorphic Matrix Completion' at NeurIPS 2022
Led the open-source project FinRL: the first framework demonstrating the potential of financial reinforcement learning
Led the open-source project ElegantRL “小雅”: a massively parallel library for cloud-native deep reinforcement learning
Has authored technical blog posts since March 2021 on topics including ElegantRL stability, PPO algorithms, and the Podracer library
Co-authors
7 total
Xiao-Yang Liu
Columbia University
Pulkit Agrawal
Massachusetts Institute of Technology
Co-author 3
Georgia Chalvatzaki
Professor for Interactive Robot Perception and Learning, Technische Universität Darmstadt
Marcel Torne
Researcher, Stanford University
Jan Peters
Professor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKI
Puze Liu
German Research Center for AI (DFKI)
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