ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling

9 March 2022

Papers citing "ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling"

10 / 10 papers shown

Title
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach Riccardo Poiani Nicole Nobili Alberto Maria Metelli Marcello Restelli 29 0 0 17 Oct 2024
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen Shuze Liu Shangtong Zhang OffRL 102 1 0 08 Oct 2024
Doubly Optimal Policy Evaluation for Reinforcement Learning Shuze Liu Claire Chen Shangtong Zhang OffRL 32 2 0 03 Oct 2024
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP Subhojyoti Mukherjee Josiah P. Hanna Robert Nowak OffRL 51 0 0 04 Jun 2024
On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling Nicholas Corrado Josiah P. Hanna OffRL 20 1 0 14 Nov 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning Riccardo Poiani Alberto Maria Metelli Marcello Restelli 24 2 0 07 May 2023
Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design Shuze Liu Shangtong Zhang OffRL 30 3 0 31 Jan 2023
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits Subhojyoti Mukherjee Qiaomin Xie Josiah P. Hanna R. Nowak OffRL 53 5 0 29 Jan 2023
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning Rujie Zhong Duohan Zhang Lukas Schafer Stefano V. Albrecht Josiah P. Hanna OOD OffRL 11 12 0 29 Nov 2021
Minimax Number of Strata for Online Stratified Sampling given Noisy Samples Alexandra Carpentier Rémi Munos 49 13 0 18 May 2012