CORL: Research-oriented Deep Offline Reinforcement Learning Library

CORL: Research-oriented Deep Offline Reinforcement Learning Library

13 October 2022

Alexander Nikulin

Vladislav Kurenkov

Sergey Kolesnikov

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

18 / 18 papers shown

Title
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 162 0 0 20 May 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 50 1 0 04 Nov 2024
OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park Kevin Frans Benjamin Eysenbach Sergey Levine OffRL 50 8 0 26 Oct 2024
The Role of Deep Learning Regularizations on Actors in Offline RL Denis Tarasov Anja Surina Çağlar Gülçehre OffRL AI4CE 50 1 0 11 Sep 2024
Augmenting Offline RL with Unlabeled Data Zhao Wang Briti Gangopadhyay Jia-Fong Yeh Shingo Takamatsu OffRL 28 0 0 11 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
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning Jaewoo Lee Sujin Yun Taeyoung Yun Jinkyoo Park 43 6 0 27 May 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning Anya Sims Cong Lu Yee Whye Teh OffRL 27 3 0 19 Feb 2024
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning Chenxiao Gao Chenyang Wu Mingjun Cao Rui Kong Zongzhang Zhang Yang Yu OffRL 29 13 0 12 Sep 2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning Jinyi Liu Y. Ma Jianye Hao Yujing Hu Yan Zheng Tangjie Lv Changjie Fan OffRL 44 2 0 27 Jun 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning Denis Tarasov Vladislav Kurenkov Alexander Nikulin Sergey Kolesnikov OffRL 27 36 0 16 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 24 1 0 04 May 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 112 108 0 09 Mar 2023
Anti-Exploration by Random Network Distillation Alexander Nikulin Vladislav Kurenkov Denis Tarasov Sergey Kolesnikov 30 24 0 31 Jan 2023
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 839 0 12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 99 262 0 04 Oct 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 143 85 0 22 Sep 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,955 0 04 May 2020