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Off-Policy Deep Reinforcement Learning without Exploration

Off-Policy Deep Reinforcement Learning without Exploration

7 December 2018
Scott Fujimoto
D. Meger
Doina Precup
    OffRL
    BDL
ArXivPDFHTML

Papers citing "Off-Policy Deep Reinforcement Learning without Exploration"

50 / 339 papers shown
Title
Offline Reinforcement Learning for Visual Navigation
Offline Reinforcement Learning for Visual Navigation
Dhruv Shah
Arjun Bhorkar
Hrish Leen
Ilya Kostrikov
Nicholas Rhinehart
Sergey Levine
OffRL
24
29
0
16 Dec 2022
Behavior Estimation from Multi-Source Data for Offline Reinforcement
  Learning
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning
Guoxi Zhang
H. Kashima
OffRL
29
2
0
29 Nov 2022
Is Conditional Generative Modeling all you need for Decision-Making?
Is Conditional Generative Modeling all you need for Decision-Making?
Anurag Ajay
Yilun Du
Abhi Gupta
J. Tenenbaum
Tommi Jaakkola
Pulkit Agrawal
DiffM
47
360
0
28 Nov 2022
Causal Deep Reinforcement Learning Using Observational Data
Causal Deep Reinforcement Learning Using Observational Data
Wenxuan Zhu
Chao Yu
Qiaosheng Zhang
CML
OffRL
26
5
0
28 Nov 2022
Domain Generalization for Robust Model-Based Offline Reinforcement
  Learning
Domain Generalization for Robust Model-Based Offline Reinforcement Learning
Alan Clark
Shoaib Ahmed Siddiqui
Robert Kirk
Usman Anwar
Stephen Chung
David M. Krueger
OOD
OffRL
27
0
0
27 Nov 2022
Multi-Environment Pretraining Enables Transfer to Action Limited
  Datasets
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
David Venuto
Sherry Yang
Pieter Abbeel
Doina Precup
Igor Mordatch
Ofir Nachum
OffRL
25
5
0
23 Nov 2022
Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and
  Stable Online Fine-Tuning
Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning
Alex Beeson
Giovanni Montana
OffRL
OnRL
20
22
0
21 Nov 2022
Model-based Trajectory Stitching for Improved Offline Reinforcement
  Learning
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning
Charles A. Hepburn
Giovanni Montana
OffRL
29
13
0
21 Nov 2022
Let Offline RL Flow: Training Conservative Agents in the Latent Space of
  Normalizing Flows
Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows
D. Akimov
Vladislav Kurenkov
Alexander Nikulin
Denis Tarasov
Sergey Kolesnikov
OffRL
19
9
0
20 Nov 2022
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch
  Size
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size
Alexander Nikulin
Vladislav Kurenkov
Denis Tarasov
Dmitry Akimov
Sergey Kolesnikov
OffRL
33
14
0
20 Nov 2022
Learning Reward Functions for Robotic Manipulation by Observing Humans
Learning Reward Functions for Robotic Manipulation by Observing Humans
Minttu Alakuijala
Gabriel Dulac-Arnold
Julien Mairal
Jean Ponce
Cordelia Schmid
OffRL
37
26
0
16 Nov 2022
Offline Reinforcement Learning with Adaptive Behavior Regularization
Offline Reinforcement Learning with Adaptive Behavior Regularization
Yunfan Zhou
Xijun Li
Qingyu Qu
OffRL
24
1
0
15 Nov 2022
Contextual Transformer for Offline Meta Reinforcement Learning
Contextual Transformer for Offline Meta Reinforcement Learning
Runji Lin
Ye Li
Xidong Feng
Zhaowei Zhang
Xian Hong Wu Fung
Haifeng Zhang
Jun Wang
Yali Du
Yaodong Yang
OffRL
23
6
0
15 Nov 2022
CACTO: Continuous Actor-Critic with Trajectory Optimization -- Towards
  global optimality
CACTO: Continuous Actor-Critic with Trajectory Optimization -- Towards global optimality
Gianluigi Grandesso
Elisa Alboni
G. P. R. Papini
Patrick M. Wensing
Andrea Del Prete
22
15
0
12 Nov 2022
Spatio-temporal Incentives Optimization for Ride-hailing Services with
  Offline Deep Reinforcement Learning
Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning
Yanqiu Wu
Qingyang Li
Zhiwei Qin
OffRL
12
3
0
06 Nov 2022
Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement
  Learning
Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning
D. Elbaz
Gal Novik
Oren Salzman
OffRL
27
0
0
06 Nov 2022
Contrastive Value Learning: Implicit Models for Simple Offline RL
Contrastive Value Learning: Implicit Models for Simple Offline RL
Bogdan Mazoure
Benjamin Eysenbach
Ofir Nachum
Jonathan Tompson
SSL
OffRL
38
7
0
03 Nov 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for
  Industrial Insertion of Novel Connectors from Vision
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Ashvin Nair
Brian Zhu
Gokul Narayanan
Eugen Solowjow
Sergey Levine
OffRL
OnRL
28
14
0
27 Oct 2022
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online
  Reinforcement Learning
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning
Yi Zhao
Rinu Boney
Alexander Ilin
Arno Solin
Joni Pajarinen
OffRL
OnRL
26
39
0
25 Oct 2022
Dichotomy of Control: Separating What You Can Control from What You
  Cannot
Dichotomy of Control: Separating What You Can Control from What You Cannot
Mengjiao Yang
Dale Schuurmans
Pieter Abbeel
Ofir Nachum
OffRL
25
42
0
24 Oct 2022
MoCoDA: Model-based Counterfactual Data Augmentation
MoCoDA: Model-based Counterfactual Data Augmentation
Silviu Pitis
Elliot Creager
Ajay Mandlekar
Animesh Garg
OffRL
48
33
0
20 Oct 2022
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
Henrique Donancio
L. Vercouter
H. Roclawski
AI4CE
18
1
0
20 Oct 2022
Robust Offline Reinforcement Learning with Gradient Penalty and
  Constraint Relaxation
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation
Chengqian Gao
Kelvin Xu
Liu Liu
Deheng Ye
P. Zhao
Zhiqiang Xu
OffRL
39
2
0
19 Oct 2022
Boosting Offline Reinforcement Learning via Data Rebalancing
Boosting Offline Reinforcement Learning via Data Rebalancing
Yang Yue
Bingyi Kang
Xiao Ma
Zhongwen Xu
Gao Huang
Shuicheng Yan
OffRL
23
22
0
17 Oct 2022
CUP: Critic-Guided Policy Reuse
CUP: Critic-Guided Policy Reuse
Jin Zhang
Siyuan Li
Chongjie Zhang
29
8
0
15 Oct 2022
Learning Skills from Demonstrations: A Trend from Motion Primitives to
  Experience Abstraction
Learning Skills from Demonstrations: A Trend from Motion Primitives to Experience Abstraction
Mehrdad Tavassoli
S. Katyara
Maria Pozzi
Nikhil Deshpande
D. Caldwell
D. Prattichizzo
25
11
0
14 Oct 2022
Sustainable Online Reinforcement Learning for Auto-bidding
Sustainable Online Reinforcement Learning for Auto-bidding
Zhiyu Mou
Yusen Huo
Rongquan Bai
Mingzhou Xie
Chuan Yu
Jian Xu
Bo Zheng
OffRL
OnRL
34
15
0
13 Oct 2022
Understanding or Manipulation: Rethinking Online Performance Gains of
  Modern Recommender Systems
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems
Zhengbang Zhu
Rongjun Qin
Junjie Huang
Xinyi Dai
Yang Yu
Yong Yu
Weinan Zhang
44
2
0
11 Oct 2022
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets
Chen Gong
Zhou Yang
Yunru Bai
Junda He
Jieke Shi
...
Arunesh Sinha
Bowen Xu
Xinwen Hou
David Lo
Guoliang Fan
AAML
OffRL
21
7
0
07 Oct 2022
B2RL: An open-source Dataset for Building Batch Reinforcement Learning
B2RL: An open-source Dataset for Building Batch Reinforcement Learning
Hsin-Yu Liu
Xiaohan Fu
Bharathan Balaji
Rajesh E. Gupta
Dezhi Hong
OffRL
16
4
0
30 Sep 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline
  Reinforcement Learning
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning
Daesol Cho
D. Shim
H. J. Kim
OffRL
42
11
0
30 Sep 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Erick Rosete-Beas
Oier Mees
Gabriel Kalweit
Joschka Boedecker
Wolfram Burgard
OffRL
33
81
0
19 Sep 2022
Age of Semantics in Cooperative Communications: To Expedite Simulation
  Towards Real via Offline Reinforcement Learning
Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning
Xianfu Chen
Zhifeng Zhao
S. Mao
Celimuge Wu
Honggang Zhang
M. Bennis
OffRL
23
3
0
19 Sep 2022
Distributionally Robust Offline Reinforcement Learning with Linear
  Function Approximation
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation
Xiaoteng Ma
Zhipeng Liang
Jose H. Blanchet
MingWen Liu
Li Xia
Jiheng Zhang
Qianchuan Zhao
Zhengyuan Zhou
OOD
OffRL
41
22
0
14 Sep 2022
Statistical Estimation of Confounded Linear MDPs: An Instrumental
  Variable Approach
Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach
Miao Lu
Wenhao Yang
Liangyu Zhang
Zhihua Zhang
OffRL
34
1
0
12 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks
Task-Agnostic Learning to Accomplish New Tasks
Xianqi Zhang
Xingtao Wang
Xu Liu
Wenrui Wang
Xiaopeng Fan
Debin Zhao
OffRL
88
0
0
09 Sep 2022
Dialogue Evaluation with Offline Reinforcement Learning
Dialogue Evaluation with Offline Reinforcement Learning
Nurul Lubis
Christian Geishauser
Hsien-Chin Lin
Carel van Niekerk
Michael Heck
Shutong Feng
Milica Gavsić
OffRL
19
4
0
02 Sep 2022
Goal-Conditioned Q-Learning as Knowledge Distillation
Goal-Conditioned Q-Learning as Knowledge Distillation
Alexander Levine
S. Feizi
OffRL
22
2
0
28 Aug 2022
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy
  Treatment Strategies with Deep Reinforcement Learning
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning
Baihan Lin
Guillermo Cecchi
Djallel Bouneffouf
OffRL
29
12
0
27 Aug 2022
Multi-Task Fusion via Reinforcement Learning for Long-Term User
  Satisfaction in Recommender Systems
Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems
Qihua Zhang
Junning Liu
Yuzhuo Dai
Yiyan Qi
Yifan Yuan
Kunlun Zheng
Fan Huang
Xianfeng Tan
OffRL
24
50
0
09 Aug 2022
Reinforcement Learning For Survival, A Clinically Motivated Method For
  Critically Ill Patients
Reinforcement Learning For Survival, A Clinically Motivated Method For Critically Ill Patients
Thesath Nanayakkara
OOD
OffRL
16
0
0
17 Jul 2022
Making Linear MDPs Practical via Contrastive Representation Learning
Making Linear MDPs Practical via Contrastive Representation Learning
Tianjun Zhang
Tongzheng Ren
Mengjiao Yang
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
25
44
0
14 Jul 2022
Hindsight Learning for MDPs with Exogenous Inputs
Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair
Felipe Vieira Frujeri
Ching-An Cheng
Luke Marshall
Hugo Barbalho
Jingling Li
Jennifer Neville
Ishai Menache
Adith Swaminathan
18
22
0
13 Jul 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic
  Reinforcement Learning
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Homer Walke
Jonathan Yang
Albert Yu
Aviral Kumar
Jedrzej Orbik
Avi Singh
Sergey Levine
OffRL
OnRL
27
32
0
11 Jul 2022
Multi-objective Optimization of Notifications Using Offline
  Reinforcement Learning
Multi-objective Optimization of Notifications Using Offline Reinforcement Learning
Prakruthi Prabhakar
Yiping Yuan
Guangyu Yang
Wensheng Sun
A. Muralidharan
OffRL
28
6
0
07 Jul 2022
Offline RL Policies Should be Trained to be Adaptive
Offline RL Policies Should be Trained to be Adaptive
Dibya Ghosh
Anurag Ajay
Pulkit Agrawal
Sergey Levine
OffRL
35
45
0
05 Jul 2022
Offline Policy Optimization with Eligible Actions
Offline Policy Optimization with Eligible Actions
Yao Liu
Yannis Flet-Berliac
Emma Brunskill
OffRL
25
5
0
01 Jul 2022
Watch and Match: Supercharging Imitation with Regularized Optimal
  Transport
Watch and Match: Supercharging Imitation with Regularized Optimal Transport
Siddhant Haldar
Vaibhav Mathur
Denis Yarats
Lerrel Pinto
48
62
0
30 Jun 2022
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement Learning
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
50
101
0
19 Jun 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning
  Environments
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
Mohan Zhang
Xiaozhou Wang
Benjamin Decardi-Nelson
Bo Song
A. Zhang
...
Jiayi Cheng
Xiaohong Liu
DengDeng Yu
Matthew Poon
Animesh Garg
13
4
0
17 Jun 2022
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