DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning

13 March 2022

Papers citing "DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning"

29 / 29 papers shown

Title
Attention-Based Reward Shaping for Sparse and Delayed Rewards Ian Holmes Min Chi OffRL 24 0 0 16 May 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Patrick Yin Tyler Westenbroek Simran Bagaria Kevin Huang Ching-an Cheng Andrey Kobolov Abhishek Gupta 80 2 0 04 Feb 2025
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Yihong Guo Yixuan Wang Yuanyuan Shi Pan Xu Anqi Liu 24 3 0 15 Nov 2024
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data Chengrui Qu Laixi Shi Kishan Panaganti Pengcheng You Adam Wierman OffRL OnRL 38 0 0 06 Nov 2024
Off-dynamics Conditional Diffusion Planners Wen Zheng Terence Ng Jianda Chen Tianwei Zhang DiffM OffRL 35 0 0 16 Oct 2024
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing Haoyi Niu Qimao Chen Tenglong Liu Jianxiong Li Guyue Zhou Yi Zhang Jianming Hu Xianyuan Zhan 34 0 0 13 Sep 2024
Domain Adaptation for Offline Reinforcement Learning with Limited Samples Weiqin Chen Sandipan Mishra Santiago Paternain OffRL 43 2 0 22 Aug 2024
Offline Reinforcement Learning from Datasets with Structured Non-Stationarity Johannes Ackermann Takayuki Osa Masashi Sugiyama OffRL 42 2 0 23 May 2024
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs Yao Lai Jinxin Liu Yao Lai Ping Luo 36 5 0 10 May 2024
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Jianye Hao Zhuoran Yang Bin Zhao Zhen Wang Xuelong Li OffRL 37 9 0 30 Apr 2024
A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents Haoyi Niu Jianming Hu Guyue Zhou Xianyuan Zhan 23 10 0 07 Feb 2024
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems Zhenghai Xue Qingpeng Cai Tianyou Zuo Bin Yang Lantao Hu Peng Jiang Kun Gai 28 1 0 06 Oct 2023
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps Haoyi Niu Tianying Ji Bingqi Liu Haocheng Zhao Xiangyu Zhu Jianying Zheng Pengfei Huang Guyue Zhou Jianming Hu Xianyuan Zhan OffRL OnRL AI4CE 27 6 0 22 Sep 2023
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer Yao Lai Jinxin Liu Zhentao Tang Bin Wang Jianye Hao Ping Luo OffRL 21 41 0 26 Jun 2023
CEIL: Generalized Contextual Imitation Learning Jinxin Liu Li He Yachen Kang Zifeng Zhuang Donglin Wang Huazhe Xu 36 18 0 26 Jun 2023
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization Jinxin Liu Hongyin Zhang Zifeng Zhuang Yachen Kang Donglin Wang Bin Wang OffRL 42 8 0 26 Jun 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning Jinxin Liu Lipeng Zu Li He Donglin Wang OffRL 45 8 0 23 Jun 2023
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning Jinxin Liu Ziqi Zhang Zhenyu Wei Zifeng Zhuang Yachen Kang Sibo Gai Donglin Wang OffRL 20 16 0 22 Jun 2023
State Regularized Policy Optimization on Data with Dynamics Shift Zhenghai Xue Qingpeng Cai Shuchang Liu Dong Zheng Peng Jiang Kun Gai Bo An OffRL 28 16 0 06 Jun 2023
Cross-Domain Policy Adaptation via Value-Guided Data Filtering Kang Xu Chenjia Bai Xiaoteng Ma Dong Wang Bingyan Zhao Zhen Wang Xuelong Li Wei Li 29 14 0 28 May 2023
Beyond Reward: Offline Preference-guided Policy Optimization Yachen Kang Dingxu Shi Jinxin Liu Li He Donglin Wang OffRL 24 31 0 25 May 2023
OER: Offline Experience Replay for Continual Offline Reinforcement Learning Sibo Gai Donglin Wang Li He CLL OffRL 45 3 0 23 May 2023
Behavior Proximal Policy Optimization Zifeng Zhuang Kun Lei Jinxin Liu Donglin Wang Yilang Guo OffRL 27 34 0 22 Feb 2023
KSG: Knowledge and Skill Graph Feng Zhao Ziqi Zhang Donglin Wang 21 4 0 13 Sep 2022
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning Haoyi Niu Shubham Sharma Yiwen Qiu Ming Li Guyue Zhou Jianming Hu Xianyuan Zhan OffRL OnRL 27 46 0 27 Jun 2022
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 413 0 16 Feb 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 132 78 0 01 Feb 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 209 119 0 21 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020