Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings

7 June 2018

John D. Co-Reyes

YuXuan Liu

Abhishek Gupta

Pieter Abbeel

Papers citing "Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings"

30 / 30 papers shown

Title
Few-Shot Task Learning through Inverse Generative Modeling Aviv Netanyahu Yilun Du Antonia Bronars Jyothish Pari J. Tenenbaum Tianmin Shu Pulkit Agrawal 51 1 0 07 Nov 2024
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 41 7 0 30 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy Zichen Zhang Yunshuang Li Osbert Bastani Abhishek Gupta Dinesh Jayaraman Yecheng Jason Ma Luca Weihs 37 17 0 12 Oct 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs Yuan Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 41 8 0 20 Mar 2023
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 34 35 0 19 Sep 2022
Efficient Planning in a Compact Latent Action Space Zhengyao Jiang Tianjun Zhang Michael Janner Yueying Li Tim Rocktaschel Edward Grefenstette Yuandong Tian OffRL 18 36 0 22 Aug 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 32 6 0 07 Jun 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 35 19 0 09 Mar 2022
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization Pamul Yadav Ashutosh Mishra Junyong Lee Shiho Kim OffRL AI4CE 18 10 0 17 Feb 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei-ping Xu Haonan Yu 32 10 0 24 Jan 2022
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics Ingmar Schubert Danny Driess Ozgur S. Oguz Marc Toussaint OffRL 22 1 0 15 Nov 2021
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models Phil Chen Masha Itkina Ransalu Senanayake Mykel J. Kochenderfer 28 6 0 27 Oct 2021
Provable Hierarchy-Based Meta-Reinforcement Learning Kurtland Chua Qi Lei Jason D. Lee 22 5 0 18 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 61 31 0 06 Oct 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 32 32 0 27 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 66 645 0 03 Jun 2021
Learning Composable Behavior Embeddings for Long-horizon Visual Navigation Xiangyun Meng Yu Xiang D. Fox 24 3 0 19 Feb 2021
Task Programming: Learning Data Efficient Behavior Representations Jennifer J. Sun Ann Kennedy Eric Zhan David J. Anderson Yisong Yue Pietro Perona 26 48 0 27 Nov 2020
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion Deepali Jain Atil Iscen Ken Caluwaerts 21 35 0 23 Nov 2020
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar Abhinav Gupta DRL BDL 35 74 0 29 Jun 2020
PANDA: A Gigapixel-level Human-centric Video Dataset Xueyan Wang Xiya Zhang Yinheng Zhu Yuchen Guo Xiaoyun Yuan ... Zerun Wang Guiguang Ding D. Brady Qionghai Dai Lu Fang VGen 41 79 0 10 Mar 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 27 49 0 07 Feb 2020
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation Kuan Fang Yuke Zhu Animesh Garg Silvio Savarese Li Fei-Fei DRL 18 47 0 29 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 26 54 0 27 Sep 2019
Controlling Assistive Robots with Learned Latent Actions Dylan P. Losey K. Srinivasan Ajay Mandlekar Animesh Garg Dorsa Sadigh 26 69 0 20 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 17 53 0 25 Aug 2019
The Termination Critic A. Harutyunyan Will Dabney Diana Borsa N. Heess Rémi Munos Doina Precup OffRL 8 48 0 26 Feb 2019
Incremental learning abstract discrete planning domains and mappings to continuous perceptions Luciano Serafini P. Traverso CLL 15 2 0 16 Oct 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 46 106 0 12 Jun 2018