Revisiting the Minimalist Approach to Offline Reinforcement Learning

16 May 2023

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

32 / 32 papers shown

Title
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Haoran Xu Shuozhe Li Harshit S. Sikchi S. Niekum Amy Zhang OffRL 20 0 0 17 Apr 2025
A Clean Slate for Offline Reinforcement Learning Matthew Jackson Uljad Berdica Jarek Liesen Shimon Whiteson Jakob Foerster OffRL OnRL 42 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 73 0 0 24 Feb 2025
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning Woojun Kim Katia P. Sycara OffRL 84 0 0 30 Jan 2025
Average Reward Reinforcement Learning for Wireless Radio Resource Management Kun Yang Jing Yang Cong Shen 33 1 0 12 Jan 2025
Offline Behavior Distillation Shiye Lei Sen Zhang Dacheng Tao OffRL 16 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 44 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 37 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 24 0 0 04 Sep 2024
Unsupervised-to-Online Reinforcement Learning Junsu Kim Seohong Park Sergey Levine OnRL 48 3 0 27 Aug 2024
Offline Model-Based Reinforcement Learning with Anti-Exploration Padmanaba Srinivasan William J. Knottenbelt OffRL 36 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 22 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 27 5 0 26 Jun 2024
Efficient Offline Reinforcement Learning: The Critic is Critical Adam Jelley Trevor A. McInroe Sam Devlin Amos Storkey OffRL 24 1 0 19 Jun 2024
Is Value Learning Really the Main Bottleneck in Offline RL? Seohong Park Kevin Frans Sergey Levine Aviral Kumar OffRL 25 2 0 13 Jun 2024
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning? Denis Tarasov Kirill Brilliantov Dmitrii Kharlapenko OffRL 21 2 0 10 Jun 2024
Strategically Conservative Q-Learning Yutaka Shimizu Joey Hong Sergey Levine M. Tomizuka OffRL OnRL 22 0 0 06 Jun 2024
Offline Reinforcement Learning with Behavioral Supervisor Tuning Padmanaba Srinivasan William J. Knottenbelt OffRL 14 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 19 3 0 09 Mar 2024
Distilling LLMs' Decomposition Abilities into Compact Language Models Denis Tarasov Kumar Shridhar SyDa OffRL LRM 27 2 0 02 Feb 2024
Exploration and Anti-Exploration with Distributional Random Network Distillation Kai Yang Jian Tao Jiafei Lyu Xiu Li 19 13 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 6 23 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 13 18 0 31 Oct 2023
Katakomba: Tools and Benchmarks for Data-Driven NetHack Vladislav Kurenkov Alexander Nikulin Denis Tarasov Sergey Kolesnikov OffRL 12 4 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-An Ma Chelsea Finn Aviral Kumar Sergey Levine OffRL OnRL 109 68 0 09 Mar 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 44 76 0 13 Oct 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 198 627 0 12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 92 261 0 04 Oct 2021
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 32 47 0 19 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,662 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 220 3,054 0 23 Jan 2020