38 citations · 63 across the 19 of their papers we have counts for
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cs.LG2021★ 3 cited
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Guy Tennenholtz, Assaf Hallak, Gal Dalal +3
We consider the problem of using expert data with unobserved confounders for imitation and reinforcement learning. We begin by defining the problem of learning from confounded expe…
cs.AI2021★ 1 cited
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
Assaf Hallak, Gal Dalal, Steven Dalton +3
Tree Search (TS) is crucial to some of the most influential successes in reinforcement learning. Here, we tackle two major challenges with TS that limit its usability: \textit{dist…