research
∙
02/04/2023
Reinforcement Learning in Low-Rank MDPs with Density Features
MDPs with low-rank transitions – that is, the transition matrix can be f...
share
research
∙
10/27/2022
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions
Off-policy evaluation often refers to two related tasks: estimating the ...
research
∙
09/21/2022
Off-Policy Risk Assessment in Markov Decision Processes
Addressing such diverse ends as safety alignment with human preferences,...
research
∙
06/27/2022
Supervised Learning with General Risk Functionals
Standard uniform convergence results bound the generalization gap of the...
research
∙
02/09/2022
Offline Reinforcement Learning with Realizability and Single-policy Concentrability
Sample-efficiency guarantees for offline reinforcement learning (RL) oft...
research
∙
04/18/2021
Off-Policy Risk Assessment in Contextual Bandits
To evaluate prospective contextual bandit policies when experimentation ...
research
∙
03/04/2021
On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk
In order to model risk aversion in reinforcement learning, an emerging l...
research
∙
07/11/2019