15 citations · 80 across the 14 of their papers we have counts for
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cs.LG2020★ 10 cited
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
Botao Hao, Yaqi Duan, Tor Lattimore +2
This paper provides a statistical analysis of high-dimensional batch Reinforcement Learning (RL) using sparse linear function approximation. When there is a large number of candida…
cs.LG2020★ 15 cited
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Yaqi Duan, Mengdi Wang
This paper studies the statistical theory of batch data reinforcement learning with function approximation. Consider the off-policy evaluation problem, which is to estimate the cum…