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1910.01708
Cited By
Benchmarking Batch Deep Reinforcement Learning Algorithms
3 October 2019
Shih-Han Chou
Wen-Yen Chang
W. Hsu
Jianlong Fu
OffRL
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Papers citing
"Benchmarking Batch Deep Reinforcement Learning Algorithms"
50 / 114 papers shown
Exchange Policy Optimization Algorithm for Semi-Infinite Safe Reinforcement Learning
Jiaming Zhang
Yujie Yang
Haoning Wang
Liping Zhang
Shengbo Eben Li
179
0
0
06 Nov 2025
Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development
Changfu Xu
Jianxiong Guo
Yuzhu Liang
Haiyang Huang
Haodong Zou
Xi Zheng
Shui Yu
Xiaowen Chu
Jiannong Cao
Tian-sheng Wang
OffRL
AI4CE
296
2
0
14 Oct 2025
Exploring a Graph-based Approach to Offline Reinforcement Learning for Sepsis Treatment
Taisiya Khakharova
Lucas Sakizloglou
Leen Lambers
OffRL
GNN
AI4CE
166
0
0
03 Sep 2025
MOORL: A Framework for Integrating Offline-Online Reinforcement Learning
Gaurav Chaudhary
Wassim Uddin Mondal
Laxmidhar Behera
OffRL
481
4
0
11 Jun 2025
Modular Diffusion Policy Training: Decoupling and Recombining Guidance and Diffusion for Offline RL
Zhaoyang Chen
Cody Fleming
OffRL
229
2
0
19 May 2025
Context-aware Constrained Reinforcement Learning Based Energy-Efficient Power Scheduling for Non-stationary XR Data Traffic
IEEE Transactions on Wireless Communications (TWC), 2025
Kexuan Wang
An Liu
251
0
0
13 Mar 2025
Preserving Expert-Level Privacy in Offline Reinforcement Learning
Navodita Sharma
Vishnu Vinod
Abhradeep Thakurta
Alekh Agarwal
Borja Balle
Christoph Dann
A. Raghuveer
OffRL
358
0
0
18 Nov 2024
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces
Alex Beeson
David Ireland
Giovanni Montana
OffRL
422
4
0
17 Nov 2024
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Jiajun Xi
Yinong He
Jianing Yang
Yinpei Dai
Joyce Chai
LM&Ro
361
11
0
31 Oct 2024
Offline Reinforcement Learning and Sequence Modeling for Downlink Link Adaptation
Samuele Peri
Alessio Russo
Gabor Fodor
Pablo Soldati
OffRL
292
5
0
30 Oct 2024
Random Policy Enables In-Context Reinforcement Learning within Trust Horizons
Weiqin Chen
Santiago Paternain
OffRL
419
0
0
25 Oct 2024
Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm
Yooseok Lim
Inbeom Park
Sujee Lee
OffRL
238
1
0
24 Sep 2024
Provable Domain Adaptation for Offline Reinforcement Learning with Limited Samples
Weiqin Chen
Xinjie Zhang
Sandipan Mishra
Santiago Paternain
OffRL
601
5
0
22 Aug 2024
Integrating Domain Knowledge for handling Limited Data in Offline RL
Briti Gangopadhyay
Zhao Wang
Jia-Fong Yeh
Shingo Takamatsu
OffRL
255
1
0
11 Jun 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
Zhehua Zhou
Xuan Xie
Yuheng Huang
Zhan Shu
Lei Ma
474
2
0
06 Jun 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search
AAAI Conference on Artificial Intelligence (AAAI), 2024
Yassine Chemingui
Aryan Deshwal
Trong Nghia Hoang
J. Doppa
OffRL
300
21
0
08 May 2024
Scaling Vision-and-Language Navigation With Offline RL
Valay Bundele
Mahesh Bhupati
Biplab Banerjee
Aditya Grover
OffRL
229
3
0
27 Mar 2024
Offline Fictitious Self-Play for Competitive Games
Jingxiao Chen
Weiji Xie
W. Zhang
Yong Zu
Ying Wen
OffRL
291
1
0
29 Feb 2024
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems
Yuanqing Yu
Chongming Gao
Jiawei Chen
Heng Tang
Yuefeng Sun
Xinyuan Wei
Weizhi Ma
Min Zhang
OffRL
412
10
0
23 Feb 2024
Dataset Clustering for Improved Offline Policy Learning
Qiang Wang
Yixin Deng
Francisco Roldan Sanchez
Keru Wang
Kevin McGuinness
Noel E. O'Connor
Stephen J. Redmond
OffRL
340
2
0
14 Feb 2024
RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems
Jiahong Zhou
Shunhui Mao
Guoliang Yang
Bo Tang
Qianlong Xie
Lebin Lin
Xingxing Wang
Dong Wang
249
10
0
27 Dec 2023
The Generalization Gap in Offline Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Ishita Mediratta
Qingfei You
Minqi Jiang
Roberta Raileanu
OffRL
537
24
0
10 Dec 2023
Learning RL-Policies for Joint Beamforming Without Exploration: A Batch Constrained Off-Policy Approach
Heasung Kim
S. Ankireddy
OffRL
233
0
0
12 Oct 2023
Robust Offline Reinforcement Learning -- Certify the Confidence Interval
Aayush Mishra
Simon S. Du
OffRL
396
0
0
28 Sep 2023
A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Sidney Besnard
Shuyu Yang
M. Fadili
OffRL
273
6
0
13 Sep 2023
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning
Network and Distributed System Security Symposium (NDSS), 2023
L. Du
Min Chen
Mingyang Sun
Shouling Ji
Peng Cheng
Jiming Chen
Zhikun Zhang
OffRL
361
13
0
06 Sep 2023
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care
IEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Ali Shirali
Alexander Schubert
Ahmed Alaa
OffRL
306
10
0
13 Jun 2023
Explaining RL Decisions with Trajectories
International Conference on Learning Representations (ICLR), 2023
Shripad Deshmukh
Arpan Dasgupta
Balaji Krishnamurthy
Nan Jiang
Chirag Agarwal
Georgios Theocharous
J. Subramanian
OffRL
265
9
0
06 May 2023
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning
P. Emedom-Nnamdi
A. Friesen
Bobak Shahriari
Nando de Freitas
Matthew W. Hoffman
OffRL
301
1
0
05 May 2023
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Neural Information Processing Systems (NeurIPS), 2023
Shengpu Tang
Maggie Makar
Michael Sjoding
Finale Doshi-Velez
Jenna Wiens
OffRL
273
52
0
02 May 2023
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Maniraman Periyasamy
Marc Hölle
Marco Wiedmann
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
OffRL
267
7
0
27 Apr 2023
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey
Tongzhou Mu
H. Su
OffRL
459
1
0
23 Mar 2023
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Cong Guan
F. Chen
Lei Yuan
Zongzhang Zhang
Yang Yu
OffRL
246
9
0
19 Feb 2023
Swapped goal-conditioned offline reinforcement learning
Wenyan Yang
Huiling Wang
Dingding Cai
Joni Pajarinen
Joni-Kristen Kämäräinen
OffRL
OnRL
254
2
0
17 Feb 2023
Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies
IEEE Robotics and Automation Letters (RA-L), 2023
Qiang-qiang Wang
Robert McCarthy
David Córdova Bulens
Francisco Roldan Sanchez
Kevin McGuinness
Noel E. O'Connor
S. Redmond
OffRL
238
12
0
30 Jan 2023
Improving Behavioural Cloning with Positive Unlabeled Learning
Conference on Robot Learning (CoRL), 2023
Qiang-qiang Wang
Robert McCarthy
David Córdova Bulens
Kevin McGuinness
Noel E. O'Connor
Nico Gürtler
Felix Widmaier
Francisco Roldan Sanchez
S. Redmond
OffRL
OnRL
281
14
0
27 Jan 2023
Safe Evaluation For Offline Learning: Are We Ready To Deploy?
Hager Radi
Josiah P. Hanna
Peter Stone
Matthew E. Taylor
OffRL
ELM
266
0
0
16 Dec 2022
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation
Soysal Degirmenci
Chris Jones
OffRL
161
1
0
05 Dec 2022
Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes
International Conference on Learning Representations (ICLR), 2022
Aviral Kumar
Rishabh Agarwal
Xinyang Geng
George Tucker
Sergey Levine
OffRL
438
73
0
28 Nov 2022
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
Henrique Donancio
L. Vercouter
H. Roclawski
AI4CE
376
1
0
20 Oct 2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Tianli Ding
L. Graesser
Saminda Abeyruwan
David B. DÁmbrosio
Anish Shankar
P. Sermanet
Pannag R Sanketi
Corey Lynch
432
28
0
07 Oct 2022
BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion
Fanglin Chen
Xiao Liu
Bo Tang
Feiyu Xiong
Serim Hwang
Guomian Zhuang
OffRL
323
2
0
16 Jul 2022
An Empirical Study of Implicit Regularization in Deep Offline RL
Çağlar Gülçehre
Srivatsan Srinivasan
Jakub Sygnowski
Georg Ostrovski
Mehrdad Farajtabar
Matt Hoffman
Razvan Pascanu
Arnaud Doucet
OffRL
368
23
0
05 Jul 2022
Modular Lifelong Reinforcement Learning via Neural Composition
International Conference on Learning Representations (ICLR), 2022
Jorge Armando Mendez Mendez
H. V. Seijen
Eric Eaton
OffRL
KELM
CLL
370
51
0
01 Jul 2022
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning
ACM International Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB), 2022
Yuqing Wang
Yun Zhao
Linda R. Petzold
OffRL
227
5
0
26 Jun 2022
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
International Conference on Machine Learning (ICML), 2022
Haoqi Yuan
Zongqing Lu
SSL
OffRL
255
53
0
21 Jun 2022
Provably Efficient Offline Reinforcement Learning with Trajectory-Wise Reward
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Tengyu Xu
Yue Wang
Shaofeng Zou
Yingbin Liang
OffRL
299
16
0
13 Jun 2022
Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning
David Brandfonbrener
Rémi Tachet des Combes
Romain Laroche
OffRL
269
5
0
02 Jun 2022
Non-Markovian policies occupancy measures
Romain Laroche
Rémi Tachet des Combes
Jacob Buckman
OffRL
262
1
0
27 May 2022
Data Valuation for Offline Reinforcement Learning
Amir Abolfazli
Gregory Palmer
D. Kudenko
OffRL
218
1
0
19 May 2022
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