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Ge Li — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Ge Li
31
papers ·
276
citations ·
50
h-index
Peking University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning to Share in Multi-Agent Reinforcement Learning
2021 · 6 citations
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
2024 · 1 citations
MP3: Movement Primitive-Based (Re-)Planning Policy
2023
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning
2024
Top co-authors
Gerhard Neumann
· 3
Hongyi Zhou
· 3
Rudolf Lioutikov
· 3
Fabian Otto
· 2
Dominik Roth
· 1
Dong Tian
· 1
Onur Celik
· 1
Serge Thilges
· 1
Xinkai Jiang
· 1
Yaowei Wang
· 1
Yuxuan Yi
· 1
Zongqing Lu
· 1
Topics
Model-Based RL
Value-Based
Exploration
Multi-Agent
Game AI
Safe RL
Policy Gradient
Offline RL