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

8 March 2019

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

37 / 37 papers shown

Title
Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning Nicolas Castanet Olivier Sigaud Sylvain Lamprier OffRL 99 0 0 23 May 2025
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 147 6 0 18 Nov 2024
Grounding Video Models to Actions through Goal Conditioned Exploration Yunhao Luo Yilun Du LM&Ro VGen 129 5 0 11 Nov 2024
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 443 10,591 0 17 Feb 2020
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 57 83 0 21 May 2019
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 110 54 0 20 Feb 2019
Self-supervised Learning of Image Embedding for Continuous Control Carlos Florensa Jonas Degrave N. Heess Jost Tobias Springenberg Martin Riedmiller SSL 53 53 0 03 Jan 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 136 2,445 0 13 Dec 2018
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 73 304 0 06 Dec 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 86 178 0 28 Nov 2018
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 159 1,342 0 30 Oct 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer 68 40 0 15 Oct 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 58 270 0 04 Oct 2018
Large-Scale Study of Curiosity-Driven Learning Yuri Burda Harrison Edwards Deepak Pathak Amos Storkey Trevor Darrell Alexei A. Efros LRM 72 706 0 13 Aug 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 84 544 0 12 Jul 2018
Many-Goals Reinforcement Learning Vivek Veeriah Junhyuk Oh Satinder Singh KELM 65 53 0 22 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 91 107 0 12 Jun 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 99 811 0 21 May 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration Alexandre Péré Sébastien Forestier Olivier Sigaud Pierre-Yves Oudeyer SSL DRL 51 95 0 02 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 180 5,204 0 26 Feb 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 112 240 0 25 Feb 2018
Meta-Reinforcement Learning of Structured Exploration Strategies Abhishek Gupta Russell Mendonca YuXuan Liu Pieter Abbeel Sergey Levine OffRL 110 347 0 20 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 101 1,088 0 16 Feb 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 61 159 0 14 Feb 2018
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 262 2,337 0 05 Jul 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 107 515 0 17 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 113 2,439 0 15 May 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 90 361 0 10 Apr 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 84 625 0 03 Mar 2017
Variational Intrinsic Control Karol Gregor Danilo Jimenez Rezende Daan Wierstra DRL OffRL 80 428 0 22 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 94 775 0 15 Nov 2016
Path Integral Guided Policy Search Yevgen Chebotar Mrinal Kalakrishnan Ali Yahya A. Li S. Schaal Sergey Levine 90 149 0 03 Oct 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 176 1,483 0 06 Jun 2016
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning S. Mohamed Danilo Jimenez Rezende DRL SSL 99 402 0 29 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,272 0 09 Sep 2015
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models Bradly C. Stadie Sergey Levine Pieter Abbeel 92 505 0 03 Jul 2015
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots Adrien Baranes Pierre-Yves Oudeyer 150 442 0 21 Jan 2013