Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories

12 October 2022

Papers citing "Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories"

21 / 21 papers shown

Title
Offline Action-Free Learning of Ex-BMDPs by Comparing Diverse Datasets Alexander Levine Peter Stone Amy Zhang OffRL 57 0 0 26 Mar 2025
Pre-trained Visual Dynamics Representations for Efficient Policy Learning Hao Luo Bohan Zhou Zongqing Lu 30 1 0 05 Nov 2024
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers Jianxin Bi Kelvin Lim Kaiqi Chen Yifei Huang Harold Soh 29 0 0 10 Oct 2024
Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment Zijia Song Z. Zang Yelin Wang Guozheng Yang Jiangbin Zheng Kaicheng Yu Wanyu Chen Stan Z. Li 33 0 0 09 Jun 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL Qi Lv Xiang Deng Gongwei Chen Michael Yu Wang Liqiang Nie 75 7 0 08 Jun 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL Lenart Treven Bhavya Sukhija Yarden As Florian Dorfler Andreas Krause 39 0 0 03 Jun 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 34 1 0 12 Mar 2024
PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning Tian Gao Soroush Nasiriany Huihan Liu Quantao Yang Yuke Zhu 29 8 0 01 Mar 2024
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning Zihan Ding Amy Zhang Yuandong Tian Qinqing Zheng OffRL 47 17 0 05 Feb 2024
Learning to Act without Actions Dominik Schmidt Minqi Jiang OffRL 31 30 0 17 Dec 2023
Guided Flows for Generative Modeling and Decision Making Qinqing Zheng Matt Le Neta Shaul Y. Lipman Aditya Grover Ricky T. Q. Chen 26 35 0 22 Nov 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions Seohong Park Dibya Ghosh Benjamin Eysenbach Sergey Levine OffRL 30 44 0 22 Jul 2023
Diffusion Models for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover DiffM 26 51 0 12 Jun 2023
Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models Siyan Zhao Aditya Grover OffRL 16 7 0 09 Jun 2023
Masked Trajectory Models for Prediction, Representation, and Control Philipp Wu Arjun Majumdar Kevin Stone Yixin Lin Igor Mordatch Pieter Abbeel Aravind Rajeswaran OffRL 33 38 0 04 May 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning Haichao Zhang Weiwen Xu Haonan Yu CLL OffRL OnRL 40 62 0 02 Feb 2023
Generative Pretraining for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover OffRL AI4CE 50 26 0 22 Jun 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 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
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016