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2002.11089
Cited By
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Neural Information Processing Systems (NeurIPS), 2020
25 February 2020
Benjamin Eysenbach
Xinyang Geng
Sergey Levine
Ruslan Salakhutdinov
OffRL
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Papers citing
"Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement"
50 / 57 papers shown
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Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning
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30 Apr 2024
The Virtues of Pessimism in Inverse Reinforcement Learning
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04 Feb 2024
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Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance
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04 Sep 2023
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization
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481
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26 Jun 2023
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
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What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?
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Yong Lin
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271
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30 May 2023
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach
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Yali Du
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Meng Fang
Mykola Pechenizkiy
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308
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28 May 2023
Distance Weighted Supervised Learning for Offline Interaction Data
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Joey Hejna
Jensen Gao
Dorsa Sadigh
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351
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Li Shen
Ya Zhang
Dacheng Tao
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308
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On Transforming Reinforcement Learning by Transformer: The Development Trajectory
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Shengchao Hu
Li Shen
Ya Zhang
Yixin Chen
Dacheng Tao
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383
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29 Dec 2022
Understanding the Complexity Gains of Single-Task RL with a Curriculum
International Conference on Machine Learning (ICML), 2022
Qiyang Li
Yuexiang Zhai
Yi-An Ma
Sergey Levine
444
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0
24 Dec 2022
Offline Reinforcement Learning for Visual Navigation
Conference on Robot Learning (CoRL), 2022
Dhruv Shah
Arjun Bhorkar
Hrish Leen
Ilya Kostrikov
Nicholas Rhinehart
Sergey Levine
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261
41
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16 Dec 2022
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
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Yusuke Iwasawa
Yutaka Matsuo
S. Gu
328
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Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
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Patrick Yin
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Homer Walke
Ge Yan
Sergey Levine
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345
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12 Oct 2022
Understanding Hindsight Goal Relabeling from a Divergence Minimization Perspective
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Bradly C. Stadie
263
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26 Sep 2022
Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2022
Se-Wook Yoo
Seung-Woo Seo
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157
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19 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
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513
239
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15 Jun 2022
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
Nicolas Castanet
Sylvain Lamprier
Olivier Sigaud
328
5
0
14 Jun 2022
Imitating Past Successes can be Very Suboptimal
Neural Information Processing Systems (NeurIPS), 2022
Benjamin Eysenbach
Soumith Udatha
Sergey Levine
Ruslan Salakhutdinov
OffRL
320
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0
07 Jun 2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via
f
f
f
-Advantage Regression
Neural Information Processing Systems (NeurIPS), 2022
Yecheng Jason Ma
Jason Yan
Dinesh Jayaraman
Osbert Bastani
OffRL
330
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07 Jun 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Kuan Fang
Patrick Yin
Ashvin Nair
Sergey Levine
OffRL
278
42
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17 May 2022
Modeling Human Behavior Part I -- Learning and Belief Approaches
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A. Passarella
M. Conti
276
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13 May 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
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Philippe Hansen-Estruch
Amy Zhang
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358
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27 Apr 2022
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems
Charles Burton Snell
Mengjiao Yang
Justin Fu
Yi Su
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289
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Automating Reinforcement Learning with Example-based Resets
IEEE Robotics and Automation Letters (RA-L), 2022
Jigang Kim
Jaehyeon Park
Daesol Cho
H. J. Kim
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331
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05 Apr 2022
One After Another: Learning Incremental Skills for a Changing World
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359
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Switch Trajectory Transformer with Distributional Value Approximation for Multi-Task Reinforcement Learning
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168
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Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL
International Conference on Learning Representations (ICLR), 2022
Rui Yang
Yiming Lu
Wenzhe Li
Hao Sun
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Yali Du
Xiu Li
Lei Han
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388
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09 Feb 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning
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Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Chelsea Finn
Sergey Levine
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575
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03 Feb 2022
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning
Denis Yarats
David Brandfonbrener
Hao Liu
Michael Laskin
Pieter Abbeel
A. Lazaric
Lerrel Pinto
OffRL
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262
113
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31 Jan 2022
The Challenges of Exploration for Offline Reinforcement Learning
Nathan Lambert
Markus Wulfmeier
William F. Whitney
Arunkumar Byravan
Michael Bloesch
Vibhavari Dasagi
Tim Hertweck
Martin Riedmiller
OffRL
233
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27 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Minghuan Liu
Menghui Zhu
Weinan Zhang
409
199
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20 Jan 2022
STIR
2
^2
2
: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Jesús Bujalance Martín
Fabien Moutarde
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220
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11 Jan 2022
RvS: What is Essential for Offline RL via Supervised Learning?
International Conference on Learning Representations (ICLR), 2021
Scott Emmons
Benjamin Eysenbach
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Sergey Levine
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404
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0
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Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
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Pieter Abbeel
Joseph E. Gonzalez
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300
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Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Todor Davchev
Oleg O. Sushkov
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243
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Generalized Decision Transformer for Offline Hindsight Information Matching
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362
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Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment
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182
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217
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StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning
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Kumara Kahatapitiya
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476
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Hindsight Foresight Relabeling for Meta-Reinforcement Learning
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242
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Yevgen Chebotar
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244
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Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning
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Christina Baek
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Jiantao Jiao
Yi-An Ma
499
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08 Jul 2021
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Meng Fang
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292
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DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies
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Vitchyr H. Pong
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343
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23 Apr 2021
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OffRL
520
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