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Boxiang Lyu — most-cited papers & profile · Reinforcement Learning
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Boxiang Lyu
2
papers ·
0
citations
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Most-cited papers
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning
2022
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning
2024
Top co-authors
Mladen Kolar
· 2
Dake Zhang
· 1
Pedro Cisneros‐Velarde
· 1
Sanmi Koyejo
· 1
Shuang Qiu
· 1
Tong Zhang
· 1
Topics
Exploration
Policy Gradient
Multi-Agent
Game AI
Offline RL
Safe RL
Value-Based