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Revisiting the Minimalist Approach to Offline Reinforcement Learning

Neural Information Processing Systems (NeurIPS), 2023

16 May 2023

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

21 / 21 papers shown

Title
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning Yunchang Ma Tenglong Liu Yixing Lan Xin Yin Changxin Zhang Xinglong Zhang Xin Xu OffRL 191 0 0 12 Nov 2025
Multi-agent Coordination via Flow Matching Dongsu Lee Daehee Lee Amy Zhang 91 0 0 07 Nov 2025
Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Data Jesse van Remmerden Zaharah Bukhsh Yingqian Zhang OffRL OnRL 168 0 0 12 Sep 2025
floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL Bhavya Agrawalla Michal Nauman Khush Agarwal Aviral Kumar OffRL 196 1 0 08 Sep 2025
Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data Jeonghye Kim Yongjae Shin Whiyoung Jung Sunghoon Hong Deunsol Yoon Y. Sung Kanghoon Lee Woohyung Lim OffRL 265 0 0 11 Jul 2025
Reinforcement Learning with Action Chunking Qiyang Li Zhiyuan Zhou Sergey Levine OffRL OnRL 316 19 0 10 Jul 2025
Steering Your Diffusion Policy with Latent Space Reinforcement Learning Andrew Wagenmaker Mitsuhiko Nakamoto Yunchu Zhang S. Park Waleed Yagoub Anusha Nagabandi Abhishek Gupta Sergey Levine OffRL 277 22 0 18 Jun 2025
Intention-Conditioned Flow Occupancy Models Chongyi Zheng S. Park Sergey Levine Benjamin Eysenbach AI4TS OffRL AI4CE 236 2 0 10 Jun 2025
Horizon Reduction Makes RL Scalable Seohong Park Kevin Frans Deepinder Mann Benjamin Eysenbach Aviral Kumar Sergey Levine OffRL 494 14 0 04 Jun 2025
Normalizing Flows are Capable Models for RL Raj Ghugare Benjamin Eysenbach OffRL AI4CE 306 4 0 29 May 2025
SOReL and TOReL: Two Methods for Fully Offline Reinforcement Learning Mattie Fellows Clarisse Wibault Uljad Berdica Johannes Forkel Jakob Foerster Michael A. Osborne OffRL OnRL 275 0 0 28 May 2025
Scaling Offline RL via Efficient and Expressive Shortcut Models Nicolas Espinosa-Dice Yiyi Zhang Yiding Chen Bradley Guo Owen Oertell Gokul Swamy Kianté Brantley Wen Sun OffRL LRM 215 3 0 28 May 2025
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2025 Haoran Xu Shuozhe Li Harshit S. Sikchi S. Niekum Amy Zhang OffRL 315 1 0 17 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 853 6 0 24 Feb 2025
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning Woojun Kim Katia Sycara OffRL 303 0 0 30 Jan 2025
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 638 5 0 23 Oct 2024
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning? Denis Tarasov Kirill Brilliantov Dmitrii Kharlapenko OffRL 168 3 0 10 Jun 2024
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence Marcel Hussing C. Voelcker Igor Gilitschenski Amir-massoud Farahmand Eric Eaton 281 11 0 09 Mar 2024
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023 Ruizhe Shi Yuyao Liu Yanjie Ze Simon S. Du Huazhe Xu OffRL RALM 384 32 0 31 Oct 2023
Katakomba: Tools and Benchmarks for Data-Driven NetHackNeural Information Processing Systems (NeurIPS), 2023 Vladislav Kurenkov Alexander Nikulin Denis Tarasov Sergey Kolesnikov OffRL 223 5 0 14 Jun 2023
CORL: Research-oriented Deep Offline Reinforcement Learning LibraryNeural Information Processing Systems (NeurIPS), 2022 Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 359 123 0 13 Oct 2022