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Visual Reinforcement Learning with Imagined Goals

12 July 2018

Papers citing "Visual Reinforcement Learning with Imagined Goals"

50 / 235 papers shown

Title
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 95 12 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 152 67 0 08 Jul 2021
CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks Dexun Li Meghna Lowalekar Pradeep Varakantham OffRL 47 10 0 08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 107 115 0 07 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang Dieter Fox 3DPC DRL 73 27 0 04 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 110 137 0 01 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 87 144 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 96 44 0 18 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 68 12 0 06 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning Jongwook Choi Archit Sharma Honglak Lee Sergey Levine S. Gu DRL 67 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 84 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 114 22 0 13 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 119 15 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 135 98 0 22 Apr 2021
Outcome-Driven Reinforcement Learning via Variational Inference Tim G. J. Rudner Vitchyr H. Pong R. McAllister Y. Gal Sergey Levine 100 21 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 141 280 0 16 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 83 153 0 15 Apr 2021
GridToPix: Training Embodied Agents with Minimal Supervision Unnat Jain Iou-Jen Liu Svetlana Lazebnik Aniruddha Kembhavi Luca Weihs Alex Schwing 114 23 0 14 Apr 2021
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning Jinxin Liu Donglin Wang Qiangxing Tian Zhengyu Chen 92 23 0 11 Apr 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning Xudong Wang Long Lian Stella X. Yu OOD 98 39 0 07 Apr 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos Annie S. Chen Suraj Nair Chelsea Finn 94 141 0 31 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 47 17 0 15 Mar 2021
State Entropy Maximization with Random Encoders for Efficient Exploration Younggyo Seo Lili Chen Jinwoo Shin Honglak Lee Pieter Abbeel Kimin Lee 95 128 0 18 Feb 2021
Transfer Reinforcement Learning across Homotopy Classes Zhangjie Cao Minae Kwon Dorsa Sadigh 49 17 0 10 Feb 2021
Sparse Reward Exploration via Novelty Search and Emitters Giuseppe Paolo Alexandre Coninx Stéphane Doncieux Alban Laflaquière 78 19 0 05 Feb 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 145 79 0 13 Jan 2021
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 227 60 0 30 Dec 2020
Offline Reinforcement Learning from Images with Latent Space Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn OffRL 86 129 0 21 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 154 95 0 17 Dec 2020
Intrinsically Motivated Compositional Language Emergence Rishi Hazra Sonu Dixit Sayambhu Sen 65 1 0 09 Dec 2020
Planning from Pixels using Inverse Dynamics Models Keiran Paster Sheila A. McIlraith Jimmy Ba BDL 72 41 0 04 Dec 2020
Self-supervised Visual Reinforcement Learning with Object-centric Representations Andrii Zadaianchuk Maximilian Seitzer Georg Martius SSL OCL 75 42 0 29 Nov 2020
Generalization in Reinforcement Learning by Soft Data Augmentation Nicklas Hansen Xiaolong Wang OffRL 120 175 0 26 Nov 2020
World Model as a Graph: Learning Latent Landmarks for Planning Lunjun Zhang Ge Yang Bradly C. Stadie DRL 83 74 0 25 Nov 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation Xingyu Lin Yufei Wang Jake Olkin David Held 103 218 0 14 Nov 2020
Generalization to New Actions in Reinforcement Learning Ayush Jain Andrew Szot Joseph J. Lim AI4CE 94 35 0 03 Nov 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 82 70 0 27 Oct 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning Annie S. Chen H. Nam Suraj Nair Chelsea Finn OffRL 90 25 0 22 Oct 2020
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 122 56 0 19 Oct 2020
Hyperparameter Auto-tuning in Self-Supervised Robotic Learning Jiancong Huang Juan Rojas Matthieu Zimmer Hongmin Wu Y. Guan Paul Weng SSL 55 8 0 16 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning Brian Ichter P. Sermanet Corey Lynch 92 38 0 13 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 79 9 0 03 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds Lirui Wang Yu Xiang Wei Yang Arsalan Mousavian Dieter Fox 3DPC 98 47 0 02 Oct 2020
Inverse Reinforcement Learning with Natural Language Goals Li Zhou Kevin Small 80 38 0 16 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals Ozsel Kilinc Giovanni Montana 54 5 0 05 Aug 2020
Service Chain Composition with Failures in NFV Systems: A Game-Theoretic Perspective Simeng Bian Xi Huang Ziyu Shao Xin Gao Yang Yang 31 10 0 01 Aug 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 85 65 0 14 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 103 163 0 08 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 111 89 0 06 Jul 2020
Video Prediction via Example Guidance Jingwei Xu Huazhe Xu Bingbing Ni Xiaokang Yang Trevor Darrell AI4TS 89 17 0 03 Jul 2020