Visual Reinforcement Learning with Imagined Goals

12 July 2018

Papers citing "Visual Reinforcement Learning with Imagined Goals"

50 / 347 papers shown

Title
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation Todor Davchev Oleg O. Sushkov Jean-Baptiste Regli S. Schaal Y. Aytar Markus Wulfmeier Jonathan Scholz 16 18 0 01 Dec 2021
Adaptive Multi-Goal Exploration Jean Tarbouriech O. D. Domingues Pierre Ménard Matteo Pirotta Michal Valko A. Lazaric 18 2 0 23 Nov 2021
Generalized Decision Transformer for Offline Hindsight Information Matching Hiroki Furuta Y. Matsuo S. Gu OffRL 21 99 0 19 Nov 2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning Christopher Hoang Sungryull Sohn Jongwook Choi Wilka Carvalho Honglak Lee 18 28 0 18 Nov 2021
Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains Junhong Xu Kai-Li Yin Zheng Chen Jason M. Gregory Ethan Stump Lantao Liu 31 2 0 16 Nov 2021
Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing X. Tan Zhikang Liu Chenxiao Yu A. Rosendo 22 0 0 15 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 35 41 0 04 Nov 2021
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space Giuseppe Paolo Alexandre Coninx Alban Laflaquière Stéphane Doncieux 19 3 0 02 Nov 2021
Adjacency constraint for efficient hierarchical reinforcement learning Tianren Zhang Shangqi Guo Tian Tan Xiao M Hu Feng Chen 25 17 0 30 Oct 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning H. Chung Jungtaek Kim Boris Knyazev Jinhwi Lee Graham W. Taylor Jaesik Park Minsu Cho SSL OffRL 18 20 0 29 Oct 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment Tung M. Luu Chang D. Yoo 17 8 0 28 Oct 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han Chongyi Zheng Harris Chan Keiran Paster Michael Ruogu Zhang Jimmy Ba OOD AI4CE 20 13 0 27 Oct 2021
Towards Robust Bisimulation Metric Learning Mete Kemertas Tristan Aumentado-Armstrong OffRL 16 44 0 27 Oct 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning Jinxin Liu Hao Shen Donglin Wang Yachen Kang Qiangxing Tian 32 19 0 25 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning Kibeom Kim Min Whoo Lee Yoonsung Kim Je-hwan Ryu Minsu Lee Byoung-Tak Zhang 24 8 0 25 Oct 2021
A Simple Approach to Continual Learning by Transferring Skill Parameters K.R. Zentner Ryan Julian Ujjwal Puri Yulun Zhang Gaurav Sukhatme CLL 37 3 0 19 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 27 117 0 18 Oct 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 21 6 0 12 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 44 14 0 10 Oct 2021
Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design Ayush Raina Lucas Puentes Jonathan Cagan Christopher McComb AI4CE 26 6 0 07 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 27 15 0 05 Oct 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 38 24 0 21 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 35 77 0 16 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 93 0 14 Sep 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk Georg Martius Fanny Yang SSL 64 16 0 09 Sep 2021
Learning Visual-Audio Representations for Voice-Controlled Robots Peixin Chang Shuijing Liu D. L. McPherson Katherine Driggs-Campbell SSL 26 4 0 07 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation Suraj Nair E. Mitchell Kevin Chen Brian Ichter Silvio Savarese Chelsea Finn LM&Ro OffRL 37 154 0 02 Sep 2021
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning A. Mohtasib Gerhard Neumann Heriberto Cuayáhuitl 18 16 0 06 Aug 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 46 181 0 27 Jul 2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning Kevin Li Abhishek Gupta Ashwin Reddy Vitchyr H. Pong Aurick Zhou Justin Yu Sergey Levine UQCV 17 32 0 15 Jul 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 41 16 0 12 Jul 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks Albert Wilcox Ashwin Balakrishna Brijen Thananjeyan Joseph E. Gonzalez Ken Goldberg 29 11 0 10 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 32 66 0 08 Jul 2021
CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks Dexun Li Meghna Lowalekar Pradeep Varakantham OffRL 21 10 0 08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 33 111 0 07 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang Dieter Fox 3DPC DRL 21 27 0 04 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 26 134 0 01 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 24 140 0 01 Jul 2021
MADE: Exploration via Maximizing Deviation from Explored Regions Tianjun Zhang Paria Rashidinejad Jiantao Jiao Yuandong Tian Joseph E. Gonzalez Stuart J. Russell OffRL 34 42 0 18 Jun 2021
Learning of feature points without additional supervision improves reinforcement learning from images Rinu Boney Alexander Ilin Arno Solin SSL 20 2 0 15 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 22 8 0 06 Jun 2021
Lifetime policy reuse and the importance of task capacity David M. Bossens A. J. Sobey CLL OffRL 8 3 0 03 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning Jongwook Choi Archit Sharma Honglak Lee Sergey Levine S. Gu DRL 17 21 0 02 Jun 2021
What Can I Do Here? Learning New Skills by Imagining Visual Affordances Alexander Khazatsky Ashvin Nair Dan Jing Sergey Levine LM&Ro 4 33 0 01 Jun 2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks Menghui Zhu Minghuan Liu Jian Shen Zhicheng Zhang Sheng Chen Weinan Zhang Deheng Ye Yong Yu Qiang Fu Wei Yang 38 22 0 13 May 2021
gComm: An environment for investigating generalization in Grounded Language Acquisition Rishi Hazra Sonu Dixit 31 0 0 09 May 2021
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies Soroush Nasiriany Vitchyr H. Pong Ashvin Nair Alexander Khazatsky Glen Berseth Sergey Levine OffRL 66 14 0 23 Apr 2021
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention Abhishek Gupta Justin Yu Tony Zhao Vikash Kumar Aaron Rovinsky Kelvin Xu Thomas Devlin Sergey Levine OffRL 72 95 0 22 Apr 2021
Outcome-Driven Reinforcement Learning via Variational Inference Tim G. J. Rudner Vitchyr H. Pong R. McAllister Y. Gal Sergey Levine 32 20 0 20 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 271 0 16 Apr 2021