83 citations · 186 across the 17 of their papers we have counts for
4 papers · 1 filter
Faster Deep Reinforcement Learning with Slower Online Network
Kavosh Asadi, Rasool Fakoor, Omer Gottesman +3
Deep reinforcement learning algorithms often use two networks for value function optimization: an online network, and a target network that tracks the online network with some dela…
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation
Ramtin Keramati, Omer Gottesman, Leo Anthony Celi +2
Off-policy policy evaluation methods for sequential decision making can be used to help identify if a proposed decision policy is better than a current baseline policy. However, a…
Coarse-Grained Smoothness for RL in Metric Spaces
Omer Gottesman, Kavosh Asadi, Cameron Allen +3
Principled decision-making in continuous state--action spaces is impossible without some assumptions. A common approach is to assume Lipschitz continuity of the Q-function. We show…
State Relevance for Off-Policy Evaluation
Simon P. Shen, Yecheng Jason Ma, Omer Gottesman +1
Importance sampling-based estimators for off-policy evaluation (OPE) are valued for their simplicity, unbiasedness, and reliance on relatively few assumptions. However, the varianc…