Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning

15 June 2020

Papers citing "Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning"

15 / 15 papers shown

Title
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan Dixant Mittal Wee Sun Lee BDL 74 0 0 17 Jan 2025
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 37 0 0 07 Oct 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 28 0 0 03 Jun 2024
Ensemble sampling for linear bandits: small ensembles suffice David Janz A. Litvak Csaba Szepesvári 24 2 0 14 Nov 2023
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 34 10 0 05 Sep 2023
Model-Based Uncertainty in Value Functions Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 28 13 0 24 Feb 2023
Safe Reinforcement Learning via Confidence-Based Filters Sebastian Curi Armin Lederer Sandra Hirche Andreas Krause OffRL 8 4 0 04 Jul 2022
Gradient-Based Trajectory Optimization With Learned Dynamics Bhavya Sukhija Nathanael Kohler Miguel Zamora Simon Zimmermann Sebastian Curi Andreas Krause Stelian Coros 17 9 0 09 Apr 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 19 0 0 15 Feb 2022
Representation Learning for Online and Offline RL in Low-rank MDPs Masatoshi Uehara Xuezhou Zhang Wen Sun OffRL 48 125 0 09 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 28 91 0 14 Sep 2021
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning Motoya Ohnishi Isao Ishikawa Kendall Lowrey Masahiro Ikeda Sham Kakade Yoshinobu Kawahara 16 5 0 30 Jun 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning Sebastian Curi Ilija Bogunovic Andreas Krause 19 17 0 18 Mar 2021
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 26 117 0 22 Jun 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016