37 citations · 100 across the 13 of their papers we have counts for
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cs.LG2021★ 2 cited
Online Sub-Sampling for Reinforcement Learning with General Function Approximation
Dingwen Kong, Ruslan Salakhutdinov, Ruosong Wang +1
Most of the existing works for reinforcement learning (RL) with general function approximation (FA) focus on understanding the statistical complexity or regret bounds. However, the…
cs.LG2021★ 6 cited
Instabilities of Offline RL with Pre-Trained Neural Representation
Ruosong Wang, Yifan Wu, Ruslan Salakhutdinov +1
In offline reinforcement learning (RL), we seek to utilize offline data to evaluate (or learn) policies in scenarios where the data are collected from a distribution that substanti…