Synthetic Experience Replay

Synthetic Experience Replay

12 March 2023

Jack Parker-Holder

Papers citing "Synthetic Experience Replay"

17 / 17 papers shown

Title
Extendable Long-Horizon Planning via Hierarchical Multiscale Diffusion Chang Chen Hany Hamed Doojin Baek Taegu Kang Yoshua Bengio Sungjin Ahn 38 0 0 25 Mar 2025
Generative Trajectory Stitching through Diffusion Composition Yunhao Luo Utkarsh Aashu Mishra Yilun Du Danfei Xu 56 0 0 07 Mar 2025
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Shenghong He OffRL 73 0 0 10 Feb 2025
MADiff: Offline Multi-agent Learning with Diffusion Models Zhengbang Zhu Minghuan Liu Liyuan Mao Bingyi Kang Minkai Xu Yong Yu Stefano Ermon Weinan Zhang DiffM OffRL 63 31 0 03 Jan 2025
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 56 2 0 23 Oct 2024
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces Jifeng Hu Sili Huang Li Shen Zhejian Yang Shengchao Hu Shisong Tang H. Chen Yi-Ju Chang Dacheng Tao Lichao Sun OffRL 17 0 0 21 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL C. Voelcker Marcel Hussing Eric Eaton Amir-massoud Farahmand Igor Gilitschenski 33 1 0 11 Oct 2024
ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation Guanxing Lu Zifeng Gao Tianxing Chen Wen-Dao Dai Ziwei Wang Yansong Tang Yansong Tang DiffM 54 13 0 03 Jun 2024
DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement Jiaqi Liu Peng Hang Xiaocong Zhao Jianqiang Wang Jian Sun 16 10 0 08 Jan 2024
Boosting Continuous Control with Consistency Policy Yuhui Chen Haoran Li Dongbin Zhao OffRL 14 18 0 10 Oct 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 39 76 0 13 Oct 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 193 381 0 20 May 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 196 627 0 12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 84 261 0 04 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 191 392 0 10 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,662 0 04 May 2020