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CORL: Research-oriented Deep Offline Reinforcement Learning Library

Neural Information Processing Systems (NeurIPS), 2022

13 October 2022

Papers citing "CORL: Research-oriented Deep Offline Reinforcement Learning Library"

36 / 36 papers shown

Title
One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow Zeyuan Wang Da Li Yulin Chen Ye-ling Shi Liang Bai Tianyuan Yu Yanwei Fu OffRL 116 0 0 17 Nov 2025
Quantile Q-Learning: Revisiting Offline Extreme Q-Learning with Quantile Regression Xinming Gao Shangzhe Li Yujin Cai Wenwu Yu OffRL 60 0 0 15 Nov 2025
From Static to Dynamic: Enhancing Offline-to-Online Reinforcement Learning via Energy-Guided Diffusion Stratification Lipeng Zu Hansong Zhou Xiaonan Zhang OffRL OnRL 278 0 0 05 Nov 2025
Adaptive Scaling of Policy Constraints for Offline Reinforcement Learning Tan Jing Xiaorui Li Chao Yao Xiaojuan Ban Yuetong Fang Zhanchen Zhu Zhaolin Yuan OffRL 60 0 0 27 Aug 2025
Double Check My Desired Return: Transformer with Target Alignment for Offline Reinforcement Learning Yue Pei Hongming Zhang Chao Gao Martin Müller Mengxiao Zhu Hao Sheng Ziliang Chen Liang Lin Haogang Zhu OffRL 103 0 0 22 Aug 2025
HALO: Human Preference Aligned Offline Reward Learning for Robot Navigation Gershom Seneviratne Jianyu An Sahire Ellahy K. Weerakoon Mohamed Bashir Elnoor Jonathan Deepak Kannan Amogha Thalihalla Sunil Dinesh Manocha OffRL 147 1 0 03 Aug 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 261 0 0 11 Jul 2025
Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity Samin Yeasar Arnob Scott Fujimoto Doina Precup OffRL 184 0 0 20 Jun 2025
IntelliLung: Advancing Safe Mechanical Ventilation using Offline RL with Hybrid Actions and Clinically Aligned Rewards Muhammad Hamza Yousuf Jason Li S. Vahdati Raphael Theilen Jakob Wittenstein Jens Lehmann OffRL 98 1 0 17 Jun 2025
Policy-Based Trajectory Clustering in Offline Reinforcement Learning Hao Hu Xinqi Wang Simon S. Du OffRL 234 0 0 10 Jun 2025
Intention-Conditioned Flow Occupancy Models Chongyi Zheng S. Park Sergey Levine Benjamin Eysenbach AI4TS OffRL AI4CE 216 2 0 10 Jun 2025
Is Optimal Transport Necessary for Inverse Reinforcement Learning? Zixuan Dong Yumi Omori Keith Ross 82 0 0 07 Jun 2025
Horizon Reduction Makes RL Scalable Seohong Park Kevin Frans Deepinder Mann Benjamin Eysenbach Aviral Kumar Sergey Levine OffRL 474 14 0 04 Jun 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 211 3 0 28 May 2025
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model George Andriopoulos Soyuj Jung Basnet Juan Guevara Li Guo George Andriopoulos 212 0 0 14 May 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 849 6 0 24 Feb 2025
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs Ilya Zisman Alexander Nikulin Andrei Polubarov Nikita Lyubaykin Vladislav Kurenkov Andrei Polubarov Igor Kiselev Vladislav Kurenkov OffRL 309 6 0 04 Nov 2024
OGBench: Benchmarking Offline Goal-Conditioned RLInternational Conference on Learning Representations (ICLR), 2024 Seohong Park Kevin Frans Benjamin Eysenbach Sergey Levine OffRL 477 65 0 26 Oct 2024
Diffusion Model Predictive Control Guangyao Zhou Sivaramakrishnan Swaminathan Rajkumar Vasudeva Raju J. S. Guntupalli Wolfgang Lehrach Joseph Ortiz Antoine Dedieu Miguel Lázaro-Gredilla Kevin P. Murphy 413 24 0 07 Oct 2024
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning? Denis Tarasov Kirill Brilliantov Dmitrii Kharlapenko OffRL 164 3 0 10 Jun 2024
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning Tenglong Liu Yang Li Yixing Lan Hao Gao Wei Pan Xin Xu OffRL 229 11 0 30 May 2024
AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization Longxiang He Li Shen Xueqian Wang 253 11 0 28 May 2024
Sequential Decision-Making for Inline Text Autocomplete Rohan Chitnis Shentao Yang A. Geramifard LRM 212 1 0 21 Mar 2024
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching Guanghe Li Yixiang Shan Zhengbang Zhu Ting Long Weinan Zhang OffRL 277 33 0 04 Feb 2024
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback Yifu Yuan Jianye Hao Yi-An Ma Zibin Dong Hebin Liang Jinyi Liu Zhixin Feng Kai-Wen Zhao Yan Zheng OffRL ALM 279 19 0 04 Feb 2024
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision ProcessesInternational Conference on Learning Representations (ICLR), 2024 David Ireland Giovanni Montana 239 5 0 16 Jan 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 368 32 0 31 Oct 2023
Corruption-Robust Offline Reinforcement Learning with General Function ApproximationNeural Information Processing Systems (NeurIPS), 2023 Chen Ye Rui Yang Quanquan Gu Tong Zhang OffRL 336 29 0 23 Oct 2023
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage ConditioningAAAI Conference on Artificial Intelligence (AAAI), 2023 Chenxiao Gao Chenyang Wu Mingjun Cao Rui Kong Zongzhang Zhang Yang Yu OffRL 262 24 0 12 Sep 2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning Jinyi Liu Yi Ma Jianye Hao Yujing Hu Yan Zheng Tangjie Lv Changjie Fan OffRL 300 3 0 27 Jun 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
Improving Offline-to-Online Reinforcement Learning with Q-EnsemblesAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Kai-Wen Zhao Yi-An Ma Jianye Hao Jinyi Liu Yan Zheng Zhaopeng Meng OffRL OnRL 305 18 0 12 Jun 2023
Iteratively Refined Behavior Regularization for Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 Xiao Hu Yi-An Ma Chenjun Xiao Yan Zheng Zhaopeng Meng OffRL 121 7 0 09 Jun 2023
Federated Ensemble-Directed Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 163 2 0 04 May 2023
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learningMachine-mediated learning (ML), 2023 Alex Beeson Giovanni Montana OffRL 189 15 0 26 Mar 2023
Constrained Decision Transformer for Offline Safe Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023 Zuxin Liu Zijian Guo Yi-Fan Yao Zhepeng Cen Wenhao Yu Tingnan Zhang Ding Zhao OffRL 197 68 0 14 Feb 2023