Self-Correcting Models for Model-Based Reinforcement Learning

19 December 2016

Papers citing "Self-Correcting Models for Model-Based Reinforcement Learning"

16 / 16 papers shown

Title
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Shenghong He OffRL 168 0 0 10 Feb 2025
On-line Policy Improvement using Monte-Carlo Search Gerald Tesauro Gregory R. Galperin 92 270 0 09 Jan 2025
Meta-Gradient Search Control: A Method for Improving the Efficiency of Dyna-style Planning Bradley Burega John D. Martin Luke Kapeluck Michael Bowling 40 0 0 27 Jun 2024
A Note on Loss Functions and Error Compounding in Model-based Reinforcement Learning Nan Jiang 22 5 0 15 Apr 2024
A Tractable Inference Perspective of Offline RL Xuejie Liu Anji Liu Guy Van den Broeck Yitao Liang OffRL 34 1 0 31 Oct 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 31 9 0 29 May 2023
Reward-Predictive Clustering Lucas Lehnert M. Frank Michael L. Littman OffRL 19 0 0 07 Nov 2022
Goal-Space Planning with Subgoal Models Chun-Ping Lo Kevin Roice Parham Mohammad Panahi Scott M. Jordan Adam White Gábor Mihucz Farzane Aminmansour Martha White 24 5 0 06 Jun 2022
High-dimensional separability for one- and few-shot learning Alexander N. Gorban Bogdan Grechuk Evgeny M. Mirkes Sergey V. Stasenko I. Tyukin DRL 27 20 0 28 Jun 2021
Learning One Representation to Optimize All Rewards Ahmed Touati Yann Ollivier OffRL 21 59 0 14 Mar 2021
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 13 34 0 27 Oct 2020
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 30 27 0 19 Oct 2020
Combating the Compounding-Error Problem with a Multi-step Model Kavosh Asadi Dipendra Kumar Misra Seungchan Kim Michel L. Littman LRM 14 55 0 30 May 2019
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning Kavosh Asadi Evan Cater Dipendra Kumar Misra Michael L. Littman OffRL 11 13 0 31 Oct 2018
Lipschitz Continuity in Model-based Reinforcement Learning Kavosh Asadi Dipendra Kumar Misra Michael L. Littman KELM 21 149 0 19 Apr 2018
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning Gregory Farquhar Tim Rocktaschel Maximilian Igl Shimon Whiteson OffRL 17 71 0 31 Oct 2017