Revisiting the Minimalist Approach to Offline Reinforcement Learning

16 May 2023

Papers citing "Revisiting the Minimalist Approach to Offline Reinforcement Learning"

33 / 33 papers shown

Title
What Matters for Batch Online Reinforcement Learning in Robotics? Perry Dong Suvir Mirchandani Dorsa Sadigh Chelsea Finn OffRL 28 0 0 12 May 2025
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Haoran Xu Shuozhe Li Harshit S. Sikchi S. Niekum Amy Zhang OffRL 27 0 0 17 Apr 2025
A Clean Slate for Offline Reinforcement Learning Matthew Jackson Uljad Berdica Jarek Liesen Shimon Whiteson Jakob Foerster OffRL OnRL 49 0 0 15 Apr 2025
Yes, Q-learning Helps Offline In-Context RL Denis Tarasov Alexander Nikulin Ilya Zisman Albina Klepach Andrei Polubarov Nikita Lyubaykin Alexander Derevyagin Igor Kiselev Vladislav Kurenkov OffRL OnRL 175 0 0 24 Feb 2025
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning Woojun Kim Katia P. Sycara OffRL 91 0 0 30 Jan 2025
Average Reward Reinforcement Learning for Wireless Radio Resource Management Kun Yang Jing Yang Cong Shen 46 1 0 12 Jan 2025
Offline Behavior Distillation Shiye Lei Sen Zhang Dacheng Tao OffRL 36 0 0 30 Oct 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 57 0 0 23 Oct 2024
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model Zeyang Liu Xinrui Yang Shiguang Sun Long Qian Lipeng Wan Xingyu Chen Xuguang Lan 22 2 0 03 Oct 2024
The Role of Deep Learning Regularizations on Actors in Offline RL Denis Tarasov Anja Surina Çağlar Gülçehre OffRL AI4CE 53 1 0 11 Sep 2024
Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning Jingshuai Liu Alain Andres Yonghang Jiang Xichun Luo Wenmiao Shu Sotirios A. Tsaftaris 39 0 0 04 Sep 2024
Unsupervised-to-Online Reinforcement Learning Junsu Kim Seohong Park Sergey Levine OnRL 53 3 0 27 Aug 2024
Offline Model-Based Reinforcement Learning with Anti-Exploration Padmanaba Srinivasan William J. Knottenbelt OffRL 51 0 0 20 Aug 2024
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning Shirong Liu Chenjia Bai Zixian Guo Hao Zhang Gaurav Sharma Yang Liu OffRL 32 2 0 04 Aug 2024
Multimodal foundation world models for generalist embodied agents Pietro Mazzaglia Tim Verbelen Bart Dhoedt Aaron C. Courville Sai Rajeswar OffRL LM&Ro 50 5 0 26 Jun 2024
Efficient Offline Reinforcement Learning: The Critic is Critical Adam Jelley Trevor A. McInroe Sam Devlin Amos Storkey OffRL 39 1 0 19 Jun 2024
Is Value Learning Really the Main Bottleneck in Offline RL? Seohong Park Kevin Frans Sergey Levine Aviral Kumar OffRL 51 8 0 13 Jun 2024
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning? Denis Tarasov Kirill Brilliantov Dmitrii Kharlapenko OffRL 32 2 0 10 Jun 2024
Strategically Conservative Q-Learning Yutaka Shimizu Joey Hong Sergey Levine M. Tomizuka OffRL OnRL 42 0 0 06 Jun 2024
Offline Reinforcement Learning with Behavioral Supervisor Tuning Padmanaba Srinivasan William J. Knottenbelt OffRL 27 1 0 25 Apr 2024
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence Marcel Hussing C. Voelcker Igor Gilitschenski Amir-massoud Farahmand Eric Eaton 34 3 0 09 Mar 2024
Distilling LLMs' Decomposition Abilities into Compact Language Models Denis Tarasov Kumar Shridhar SyDa OffRL LRM 42 2 0 02 Feb 2024
Exploration and Anti-Exploration with Distributional Random Network Distillation Kai Yang Jian Tao Jiafei Lyu Xiu Li 34 15 0 18 Jan 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 26 25 0 19 Dec 2023
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning Ruizhe Shi Yuyao Liu Yanjie Ze Simon S. Du Huazhe Xu OffRL RALM 28 18 0 31 Oct 2023
Katakomba: Tools and Benchmarks for Data-Driven NetHack Vladislav Kurenkov Alexander Nikulin Denis Tarasov Sergey Kolesnikov OffRL 30 5 0 14 Jun 2023
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning Mitsuhiko Nakamoto Yuexiang Zhai Anika Singh Max Sobol Mark Yi Ma Chelsea Finn Aviral Kumar Sergey Levine OffRL OnRL 112 108 0 09 Mar 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 51 78 0 13 Oct 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 102 262 0 04 Oct 2021
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 51 56 0 19 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 246 4,489 0 23 Jan 2020