17 citations · 63 across the 17 of their papers we have counts for
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cs.LG2021★ 2 cited
Exponential Family Model-Based Reinforcement Learning via Score Matching
Gene Li, Junbo Li, Anmol Kabra +3
We propose an optimistic model-based algorithm, dubbed SMRL, for finite-horizon episodic reinforcement learning (RL) when the transition model is specified by exponential family di…
cs.LG2021
Understanding the Eluder Dimension
Gene Li, Pritish Kamath, Dylan J. Foster +1
We provide new insights on eluder dimension, a complexity measure that has been extensively used to bound the regret of algorithms for online bandits and reinforcement learning wit…
stat.ML2021★ 17 cited
Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis
Gen Li, Changxiao Cai, Yuxin Chen +2
Q-learning, which seeks to learn the optimal Q-function of a Markov decision process (MDP) in a model-free fashion, lies at the heart of reinforcement learning. When it comes to th…