Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory
Weighting

Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting

22 June 2023

Rémi Tachet des Combes

Papers citing "Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting"

17 / 17 papers shown

Title
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Haoran Xu Shuozhe Li Harshit S. Sikchi S. Niekum Amy Zhang OffRL 25 0 0 17 Apr 2025
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset Yiqin Yang Quanwei Wang Chenghao Li Hao Hu Chengjie Wu ... Dianyu Zhong Ziyou Zhang Qianchuan Zhao Chongjie Zhang Xu Bo OffRL 45 0 0 26 Feb 2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning Abdullah Akgul Manuel Haußmann M. Kandemir OffRL 64 1 0 17 Jan 2025
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control Haoran Wang Yaoru Sun Zeshen Tang Haibo Shi Chenyuan Jiao 19 0 0 12 Oct 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning Yi-Fan Yao Zhepeng Cen Wenhao Ding Hao-ming Lin Shiqi Liu Tingnan Zhang Wenhao Yu Ding Zhao OffRL OnRL 47 0 0 19 Jul 2024
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning Tenglong Liu Yang Li Yixing Lan Hao Gao Wei Pan Xin Xu OffRL 29 5 0 30 May 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning Jaewoo Lee Sujin Yun Taeyoung Yun Jinkyoo Park 14 6 0 27 May 2024
Simple Ingredients for Offline Reinforcement Learning Edoardo Cetin Andrea Tirinzoni Matteo Pirotta A. Lazaric Yann Ollivier Ahmed Touati OffRL 24 2 0 19 Mar 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective Yunpeng Qing Shunyu Liu Jingyuan Cong Kaixuan Chen Yihe Zhou Mingli Song OffRL 24 0 0 12 Mar 2024
Learning from Sparse Offline Datasets via Conservative Density Estimation Zhepeng Cen Zuxin Liu Zitong Wang Yi-Fan Yao Henry Lam Ding Zhao OffRL 10 7 0 16 Jan 2024
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning Hongyu Zang Xin-hui Li Leiji Zhang Yang Liu Baigui Sun Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL 14 5 0 26 Oct 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias Max Sobol Mark Archit Sharma Fahim Tajwar Rafael Rafailov Sergey Levine Chelsea Finn OffRL OnRL 11 1 0 12 Oct 2023
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets Zhang-Wei Hong Aviral Kumar Sathwik Karnik Abhishek Bhandwaldar Akash Srivastava J. Pajarinen Romain Laroche Abhishek Gupta Pulkit Agrawal OffRL 25 19 0 06 Oct 2023
Decoupled Prioritized Resampling for Offline RL Yang Yue Bingyi Kang Xiao Ma Qisen Yang Gao Huang S. Song Shuicheng Yan OffRL 15 0 0 08 Jun 2023
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 206 832 0 12 Oct 2021
Large Batch Experience Replay Thibault Lahire M. Geist Emmanuel Rachelson OffRL 32 13 0 04 Oct 2021
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 160 25,150 0 09 Jun 2011