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Chi Jin — most-cited papers & profile · AI for Code
← authors
·
overview
Chi Jin
53
papers ·
1004
citations ·
35
h-index
Princeton University · Changzhou University · Shenyang University of Chemical Technology
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Is Q-learning Provably Efficient?
2018 · 337 citations
Provably Efficient Reinforcement Learning with Linear Function Approximation
2019 · 219 citations
Game-Theoretic Multiagent Reinforcement Learning
2020 · 146 citations
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
2019 · 74 citations
Understanding Domain Randomization for Sim-to-real Transfer
2021 · 33 citations
Provable Self-Play Algorithms for Competitive Reinforcement Learning
2020 · 30 citations
Reward-Free Exploration for Reinforcement Learning
2020 · 26 citations
Provably Efficient Exploration in Policy Optimization
2019 · 17 citations
On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces
2020 · 15 citations
Near-Optimal Reinforcement Learning with Self-Play
2020 · 14 citations
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
2021 · 14 citations
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
2021 · 11 citations
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
2021 · 11 citations
When Is Partially Observable Reinforcement Learning Not Scary?
2022 · 8 citations
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs
2020 · 7 citations
Topics
Value-Based
Multi-Agent
Exploration
Game AI
Model-Based RL
Evaluation
Agentic
Reinforcement Learning
Safe RL
Policy Gradient