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2005.05951
Cited By
MOReL : Model-Based Offline Reinforcement Learning
12 May 2020
Rahul Kidambi
Aravind Rajeswaran
Praneeth Netrapalli
Thorsten Joachims
OffRL
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Papers citing
"MOReL : Model-Based Offline Reinforcement Learning"
50 / 171 papers shown
Title
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
Zhengyuan Yang
Shengchao Hu
Li Shen
H. Chen
Lichao Sun
Yi-Ju Chang
Dacheng Tao
OffRL
176
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
198
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
71
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
39
0
0
07 Nov 2024
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Jiayu Chen
Wentse Chen
Jeff Schneider
OffRL
31
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
46
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
61
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
49
1
0
12 Jun 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
Jaewoo Lee
Sujin Yun
Taeyoung Yun
Jinkyoo Park
46
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
44
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
31
3
0
08 Feb 2024
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning
Mao Hong
Zhiyue Zhang
Yue Wu
Yan Xu
OffRL
48
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
36
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
16
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
34
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
29
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
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
Anqi Li
Byron Boots
Ching-An Cheng
OffRL
28
16
0
30 Mar 2023
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