MOReL : Model-Based Offline Reinforcement Learning

12 May 2020

Aravind Rajeswaran

Papers citing "MOReL : Model-Based Offline Reinforcement Learning"

50 / 176 papers shown

Title
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Jing-Cheng Pang Kaiyuan Li Yansen Wang Si-Hang Yang Shengyi Jiang Yang Yu OffRL LLMAG LM&Ro LRM 19 0 0 15 May 2025
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer Minh Hoang Nguyen Linh Le Pham Van Thommen George Karimpanal Sunil Gupta Hung Le OffRL LRM 37 0 0 14 May 2025
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Jifeng Hu Sili Huang Zhiyong Yang Shengchao Hu Li Shen H. Chen Lichao Sun Yi-Ju Chang Dacheng Tao OffRL 200 0 0 03 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 56 0 0 01 May 2025
Mitigating Preference Hacking in Policy Optimization with Pessimism Dhawal Gupta Adam Fisch Christoph Dann Alekh Agarwal 76 0 0 10 Mar 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models Abdelhakim Benechehab Youssef Attia El Hili Ambroise Odonnat Oussama Zekri Albert Thomas Giuseppe Paolo Maurizio Filippone I. Redko Balázs Kégl OffRL 72 1 0 17 Feb 2025
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Shenghong He OffRL 219 0 0 10 Feb 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Patrick Yin Tyler Westenbroek Simran Bagaria Kevin Huang Ching-an Cheng Andrey Kobolov Abhishek Gupta 80 2 0 04 Feb 2025
Dual Alignment Maximin Optimization for Offline Model-based RL Chi Zhou Wang Luo Haoran Li Congying Han Tiande Guo Zicheng Zhang OffRL 75 0 0 02 Feb 2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning Abdullah Akgul Manuel Haußmann M. Kandemir OffRL 76 1 0 17 Jan 2025
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning Kun Wu Yinuo Zhao Zhihao Xu Zhengping Che Chengxiang Yin C. Liu Qinru Qiu Feiferi Feng OffRL 102 1 0 22 Dec 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning Marvin Alles Philip Becker-Ehmck Patrick van der Smagt Maximilian Karl OffRL 41 1 0 07 Nov 2024
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning Jiayu Chen Wentse Chen Jeff Schneider OffRL 33 1 0 15 Oct 2024
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 33 1 0 12 Oct 2024
Predictive Coding for Decision Transformer Tung M. Luu Donghoon Lee Chang D. Yoo OffRL 66 2 0 04 Oct 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown Xingzhou Lou Dong Yan Wei Shen Yuzi Yan Jian Xie Junge Zhang 53 22 0 01 Oct 2024
SAMBO-RL: Shifts-aware Model-based Offline Reinforcement Learning Wang Luo Haoran Li Zicheng Zhang Congying Han Jiayu Lv Tiande Guo OffRL 48 1 0 23 Aug 2024
Detecting Unsafe Behavior in Neural Network Imitation Policies for Caregiving Robotics Andrii Tytarenko OffRL 52 0 0 29 Jul 2024
Reinforcement Learning for Sustainable Energy: A Survey Koen Ponse Felix Kleuker Márton Fejér Álvaro Serra-Gómez Aske Plaat Thomas M. Moerland OffRL AI4CE 40 1 0 26 Jul 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning Hao-ming Lin Wenhao Ding Jian Chen Laixi Shi Jiacheng Zhu Bo-wen Li Ding Zhao OffRL CML 54 0 0 15 Jul 2024
FOSP: Fine-tuning Offline Safe Policy through World Models Chenyang Cao Yucheng Xin Silang Wu Longxiang He Zichen Yan Junbo Tan Xueqian Wang OffRL 66 0 0 06 Jul 2024
Preference Elicitation for Offline Reinforcement Learning Alizée Pace Bernhard Schölkopf Gunnar Rätsch Giorgia Ramponi OffRL 69 1 0 26 Jun 2024
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning Mohammadreza Nakhaei Aidan Scannell Joni Pajarinen OffRL 52 1 0 12 Jun 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning Jaewoo Lee Sujin Yun Taeyoung Yun Jinkyoo Park 50 7 0 27 May 2024
State-Constrained Offline Reinforcement Learning Charles A. Hepburn Yue Jin Giovanni Montana OffRL 37 0 0 23 May 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation Carlos Plou Ana C. Murillo Ruben Martinez-Cantin OffRL 40 0 0 02 Apr 2024
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History Yi Xu Weiran Shen Xiao Zhang Jun Xu OffRL 46 0 0 24 Mar 2024
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations E. C. Ozcan Vittorio Giammarino James Queeney I. Paschalidis OffRL 42 0 0 29 Feb 2024
MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces Tianyu Zheng Ge Zhang Xingwei Qu Ming Kuang Stephen W. Huang Zhaofeng He OffRL 53 1 0 20 Feb 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning Anya Sims Cong Lu Yee Whye Teh OffRL 35 3 0 19 Feb 2024
Counterfactual Influence in Markov Decision Processes M. Kazemi Jessica Lally Ekaterina Tishchenko Hana Chockler Nicola Paoletti 23 1 0 13 Feb 2024
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices Jiin Woo Laixi Shi Gauri Joshi Yuejie Chi OffRL 34 3 0 08 Feb 2024
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning Mao Hong Zhiyue Zhang Yue Wu Yan Xu OffRL 50 0 0 21 Jan 2024
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning Rafael Rafailov Kyle Hatch Victor Kolev John D. Martin Mariano Phielipp Chelsea Finn OffRL OnRL 22 10 0 06 Jan 2024
Backward Learning for Goal-Conditioned Policies Marc Höftmann Jan Robine Stefan Harmeling 37 1 0 08 Dec 2023
RLIF: Interactive Imitation Learning as Reinforcement Learning Jianlan Luo Perry Dong Yuexiang Zhai Yi Ma Sergey Levine OffRL 33 14 0 21 Nov 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning Liyiming Ke Yunchu Zhang Abhay Deshpande S. Srinivasa Abhishek Gupta OffRL 27 12 0 19 Oct 2023
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning Trevor A. McInroe Adam Jelley Stefano V. Albrecht Amos Storkey OffRL OnRL 28 6 0 09 Oct 2023
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning Fan Luo Tian Xu Xingchen Cao Yang Yu OffRL 32 7 0 09 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 38 1 0 26 Sep 2023
An Offline Learning Approach to Propagator Models Eyal Neuman Wolfgang Stockinger Yufei Zhang OffRL 25 6 0 06 Sep 2023
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware Nico Gürtler Sebastian Blaes Pavel Kolev Felix Widmaier Manuel Wüthrich Stefan Bauer Bernhard Schölkopf Georg Martius OffRL 33 28 0 28 Jul 2023
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data Ruiqi Zhang Andrea Zanette OffRL OnRL 40 7 0 10 Jul 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 30 13 0 15 Jun 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding Alizée Pace Hugo Yèche Bernhard Schölkopf Gunnar Rätsch Guy Tennenholtz OffRL 21 6 0 01 Jun 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints Qian Lin Bo Tang Zifan Wu Chao Yu Shangqin Mao Qianlong Xie Xingxing Wang Dong Wang OffRL 36 11 0 01 Jun 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Jianhao Wang Jin Zhang Haozhe Jiang Junyu Zhang Liwei Wang Chongjie Zhang OffRL 26 9 0 31 May 2023
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching Yecheng Jason Ma K. Sivakumar Jason Yan Osbert Bastani Dinesh Jayaraman OffRL MU 32 6 0 22 May 2023
Prompt-Tuning Decision Transformer with Preference Ranking Shengchao Hu Li Shen Ya Zhang Dacheng Tao OffRL 30 14 0 16 May 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning Geoffrey Cideron B. Tabanpour Sebastian Curi Sertan Girgin Léonard Hussenot Gabriel Dulac-Arnold M. Geist Olivier Pietquin Robert Dadashi OOD 84 2 0 02 May 2023