Transfer RL across Observation Feature Spaces via Model-Based
Regularization

Transfer RL across Observation Feature Spaces via Model-Based Regularization

1 January 2022

Furong Huang

Papers citing "Transfer RL across Observation Feature Spaces via Model-Based Regularization"

17 / 17 papers shown

Title
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning Qian Wang Zhe Zhang Baao Xie Xin Jin Yansen Wang Shiyu Wang Liaomo Zheng Xiaokang Yang Wenjun Zeng OffRL 68 0 0 11 Mar 2025
Cross-Domain Policy Transfer by Representation Alignment via Multi-Domain Behavioral Cloning Hayato Watahiki Ryo Iwase Ryosuke Unno Yoshimasa Tsuruoka 35 0 0 24 Jul 2024
UVIS: Unsupervised Video Instance Segmentation Shuaiyi Huang Saksham Suri Kamal Gupta Sai Saketh Rambhatla Ser-Nam Lim Abhinav Shrivastava VLM 39 3 0 11 Jun 2024
Privileged Sensing Scaffolds Reinforcement Learning E. Hu James Springer Oleh Rybkin Dinesh Jayaraman 25 7 0 23 May 2024
Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting L. Chen Kush Hari K. Dharmarajan Chenfeng Xu Quan Vuong Ken Goldberg 52 20 0 29 Feb 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss Ruijie Zheng Yongyuan Liang Xiyao Wang Shuang Ma Hal Daumé Huazhe Xu John Langford Praveen Palanisamy Kalyan Shankar Basu Furong Huang 45 5 0 09 Feb 2024
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning Ruijie Zheng Xiyao Wang Yanchao Sun Shuang Ma Jieyu Zhao Huazhe Xu Hal Daumé Furong Huang 43 36 0 22 Jun 2023
Online Prototype Alignment for Few-shot Policy Transfer Qi Yi Rui Zhang Shaohui Peng Jiaming Guo Yunkai Gao ... Xingui Hu Zidong Du Xishan Zhang Qi Guo Yunji Chen OffRL 27 4 0 12 Jun 2023
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning Q. Wang Jun Yang Yunbo Wang Xin Jin Wenjun Zeng Xiaokang Yang OffRL OnRL 39 3 0 24 May 2023
Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning Hassam Sheikh Mariano Phielipp OffRL 21 6 0 02 Feb 2023
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents Minghuan Liu Zhengbang Zhu Menghui Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao 18 0 0 18 Dec 2022
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning Jifeng Hu Yanchao Sun Hechang Chen Sili Huang Haiyin Piao Yi-Ju Chang Lichao Sun 23 5 0 14 Oct 2022
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy Xiyao Wang Wichayaporn Wongkamjan Furong Huang 18 19 0 25 Jul 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Rameswar Panda Marc G. Bellemare OffRL OnRL 37 63 0 03 Jun 2022
Provably Sample-Efficient RL with Side Information about Latent Dynamics Yao Liu Dipendra Kumar Misra Miroslav Dudík Robert Schapire 24 2 0 27 May 2022
Multi-Agent Policy Transfer via Task Relationship Modeling Rongjun Qin F. Chen Tonghan Wang Lei Yuan Xiaoran Wu Zongzhang Zhang Chongjie Zhang Yang Yu 38 19 0 09 Mar 2022
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 286 341 0 14 Sep 2020