Learning Actionable Representations from Visual Observations

2 August 2018

Papers citing "Learning Actionable Representations from Visual Observations"

25 / 25 papers shown

Title
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 26 9 0 29 May 2023
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation Mohit Sharma Claudio Fantacci Yuxiang Zhou Skanda Koppula N. Heess Jonathan Scholz Y. Aytar VLM 44 29 0 13 Apr 2023
K-VIL: Keypoints-based Visual Imitation Learning Jianfeng Gao Z. Tao Noémie Jaquier Tamim Asfour VGen SSL 44 23 0 07 Sep 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 26 32 0 29 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 30 36 0 03 Jul 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Zeren Zhang Guangchong Zhou Hao Chen Guoliang Fan 16 14 0 06 Jun 2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks Zehua Wang Guogang Liao Xiaowen Shi Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang OffRL 19 4 0 02 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 16 116 0 25 Mar 2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning Akira Kinose Masashi Okada Ryogo Okumura T. Taniguchi OffRL 13 10 0 15 Mar 2022
Audio Self-supervised Learning: A Survey Shuo Liu Adria Mallol-Ragolta Emilia Parada-Cabeleiro Kun Qian Xingshuo Jing Alexander Kathan Bin Hu Bjoern W. Schuller SSL 35 106 0 02 Mar 2022
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng-Tao Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 29 41 0 04 Nov 2021
Learning Cloth Folding Tasks with Refined Flow Based Spatio-Temporal Graphs Peng Zhou Omar Zahra Anqing Duan Shengzeng Huo Zeyu Wu D. Navarro-Alarcon 18 4 0 16 Oct 2021
Shaping embodied agent behavior with activity-context priors from egocentric video Tushar Nagarajan Kristen Grauman EgoV LM&Ro 43 13 0 14 Oct 2021
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning Jinghuan Shang Michael S. Ryoo SSL 24 24 0 02 Aug 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 73 28 0 13 Jul 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction Mehdi Azabou M. G. Azar Ran Liu Chi-Heng Lin Erik C. Johnson ... Lindsey Kitchell Keith B. Hengen William R. Gray Roncal Michal Valko Eva L. Dyer AI4TS 21 56 0 19 Feb 2021
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning Haotian Fu Hongyao Tang Jianye Hao C. L. P. Chen Xidong Feng Dong Li Wulong Liu OffRL 27 51 0 29 Sep 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 25 3 0 18 Jun 2020
Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning Guilherme J. Maeda Joni Väätäinen Hironori Yoshida 10 2 0 16 Mar 2020
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 27 60 0 30 Dec 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joelle Pineau Rob Fergus DRL 39 434 0 02 Oct 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks Ruohan Zhang F. Torabi L. Guan D. Ballard Peter Stone 11 87 0 21 Sep 2019
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration Brahma S. Pavse F. Torabi Josiah P. Hanna Garrett A. Warnell Peter Stone 16 33 0 18 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 28 1,452 0 03 Jun 2019
Wasserstein Dependency Measure for Representation Learning Sherjil Ozair Corey Lynch Yoshua Bengio Aaron van den Oord Sergey Levine P. Sermanet SSL DRL 22 115 0 28 Mar 2019