Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

8 March 2019

Papers citing "Skew-Fit: State-Covering Self-Supervised Reinforcement Learning"

44 / 44 papers shown

Title
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics Taowen Wang Dongfang Liu James Liang Wenhao Yang Qifan Wang Cheng Han Jiebo Luo Ruixiang Tang Ruixiang Tang AAML 74 3 0 18 Nov 2024
Grounding Video Models to Actions through Goal Conditioned Exploration Yunhao Luo Yilun Du LM&Ro VGen 77 1 0 11 Nov 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 21 0 0 19 Apr 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels Dan Haramati Tal Daniel Aviv Tamar LM&Ro OffRL OCL 32 10 0 01 Apr 2024
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming Hany Hamed Subin Kim Dongyeong Kim Jaesik Yoon Sungjin Ahn 47 4 0 29 Feb 2024
Adaptive Mobile Manipulation for Articulated Objects In the Open World Haoyu Xiong Russell Mendonca Kenneth Shaw Deepak Pathak 22 38 0 25 Jan 2024
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents Olivier Sigaud Gianluca Baldassarre Cédric Colas Stéphane Doncieux Richard J. Duro Pierre-Yves Oudeyer Nicolas Perrin-Gilbert V. Santucci AI4CE 24 10 0 01 Nov 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 25 7 0 30 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 28 34 0 13 Oct 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control Anthony Brohan Noah Brown Justice Carbajal Yevgen Chebotar Xi Chen ... Ted Xiao Peng-Tao Xu Sichun Xu Tianhe Yu Brianna Zitkovich LM&Ro LRM 22 1,086 0 28 Jul 2023
Augmenting Autotelic Agents with Large Language Models Cédric Colas Laetitia Teodorescu Pierre-Yves Oudeyer Xingdi Yuan Marc-Alexandre Côté LLMAG LM&Ro 26 22 0 21 May 2023
Affordances from Human Videos as a Versatile Representation for Robotics Shikhar Bahl Russell Mendonca Lili Chen Unnat Jain Deepak Pathak 30 160 0 17 Apr 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species Ryan Wickman Bibek Poudel Taylor Michael Villarreal Xiaofei Zhang Weizi Li 23 6 0 14 Apr 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs Yuan-Chia Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 37 8 0 20 Mar 2023
Layered State Discovery for Incremental Autonomous Exploration Liyu Chen Andrea Tirinzoni A. Lazaric Matteo Pirotta 18 0 0 07 Feb 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski A. Lazaric Alahari Karteek OffRL 34 18 0 05 Jan 2023
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 16 21 0 13 Dec 2022
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning Zhao Mandi Homanga Bharadhwaj Vincent Moens Shuran Song Aravind Rajeswaran Vikash Kumar LM&Ro 21 68 0 12 Dec 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 21 3 0 28 Oct 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 21 14 0 27 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 29 35 0 19 Sep 2022
Human-to-Robot Imitation in the Wild Shikhar Bahl Abhi Gupta Deepak Pathak 9 163 0 19 Jul 2022
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski Alahari Karteek 24 4 0 23 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 22 67 0 16 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 23 137 0 15 Jun 2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance Jakob J. Hollenstein Sayantan Auddy Matteo Saveriano Erwan Renaudo J. Piater 26 17 0 08 Jun 2022
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation Zhao Yang Thomas M. Moerland Mike Preuss Aske Plaat 15 1 0 29 Mar 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 32 7 0 16 Feb 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei-ping Xu Haonan Yu 25 10 0 24 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 22 130 0 20 Jan 2022
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment T. Luu Chang-Dong Yoo 10 7 0 28 Oct 2021
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny Jean Tarbouriech Sylvain Lamprier A. Lazaric Ludovic Denoyer SSL 31 18 0 27 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 13 13 0 27 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 24 16 0 22 Oct 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 28 91 0 14 Sep 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 26 181 0 27 Jul 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 16 70 0 12 Apr 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 22 21 0 17 Mar 2021
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 20 33 0 10 Nov 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 22 125 0 22 Jun 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 15 103 0 17 Jun 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 19 27 0 07 May 2020
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery Kristian Hartikainen Xinyang Geng Tuomas Haarnoja Sergey Levine SSL 22 74 0 18 Jul 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 14 84 0 10 Jun 2019