Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning

17 January 2025

Papers citing "Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning"

8 / 8 papers shown

Title
Improving Plasticity in Non-stationary Reinforcement Learning with Evidential Proximal Policy Optimization Abdullah Akgul Gulcin Baykal Manuel Haußmann M. Kandemir 28 0 0 03 Mar 2025
On the 1-Wasserstein Distance between Location-Scale Distributions and the Effect of Differential Privacy Saurab Chhachhi Fei Teng 52 3 0 28 Apr 2023
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization Jihwan Jeong Xiaoyu Wang Michael Gimelfarb Hyunwoo J. Kim Baher Abdulhai Scott Sanner OffRL 66 10 0 07 Oct 2022
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 92 261 0 04 Oct 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 89 144 0 13 Jul 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 194 412 0 16 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,662 0 04 May 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016