Automatic Goal Generation for Reinforcement Learning Agents

17 May 2017

Pieter Abbeel

Papers citing "Automatic Goal Generation for Reinforcement Learning Agents"

46 / 296 papers shown

Title
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery Kristian Hartikainen Xinyang Geng Tuomas Haarnoja Sergey Levine SSL 38 74 0 18 Jul 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning Johan Ferret Raphaël Marinier M. Geist Olivier Pietquin OffRL 21 6 0 18 Jul 2019
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning Srinivas Venkattaramanujam Eric Crawford T. Doan Doina Precup OffRL SSL 9 24 0 05 Jul 2019
Generative Restricted Kernel Machines: A Framework for Multi-view Generation and Disentangled Feature Learning Arun Pandey J. Schreurs Johan A. K. Suykens 14 13 0 19 Jun 2019
Directed Exploration for Reinforcement Learning Z. Guo Emma Brunskill 6 11 0 18 Jun 2019
Learning to Plan Hierarchically from Curriculum Philippe Morere Lionel Ott F. Ramos 7 8 0 18 Jun 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 17 218 0 13 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 21 71 0 13 Jun 2019
Curriculum Learning for Cumulative Return Maximization Francesco Foglino Christiano Coletto Christakou Ricardo Luna Gutierrez Matteo Leonetti 24 9 0 13 Jun 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric P. Xing Sergey Levine Ruslan Salakhutdinov 11 241 0 12 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 27 84 0 10 Jun 2019
Autonomous Reinforcement Learning of Multiple Interrelated Tasks V. Santucci Gianluca Baldassarre Emilio Cartoni 9 27 0 04 Jun 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 11 80 0 21 May 2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning Manan Tomar Akhil Sathuluri Balaraman Ravindran 19 4 0 17 May 2019
Autonomous Open-Ended Learning of Interdependent Tasks V. Santucci Emilio Cartoni Bruno C. da Silva Gianluca Baldassarre 14 2 0 07 May 2019
Generative Exploration and Exploitation Jiechuan Jiang Zongqing Lu 13 6 0 21 Apr 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 28 269 0 08 Mar 2019
Competitive Experience Replay Hao Liu Alexander R. Trott R. Socher Caiming Xiong OffRL 14 52 0 01 Feb 2019
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs Himanshu Sahni Toby Buckley Pieter Abbeel Ilya Kuzovkin 17 10 0 31 Jan 2019
An Optimization Framework for Task Sequencing in Curriculum Learning Francesco Foglino Christiano Coletto Christakou Matteo Leonetti 15 18 0 31 Jan 2019
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions Rui Wang Joel Lehman Jeff Clune Kenneth O. Stanley 26 239 0 07 Jan 2019
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications Abdullah Hamdi Matthias Muller Bernard Ghanem AAML 22 26 0 05 Dec 2018
Learning Curriculum Policies for Reinforcement Learning Sanmit Narvekar Peter Stone 14 84 0 01 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,233 0 30 Nov 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu S. Hansen Volodymyr Mnih DRL OffRL SSL 33 172 0 28 Nov 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer 15 39 0 15 Oct 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 9 266 0 04 Oct 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 11 74 0 02 Oct 2018
Curriculum goal masking for continuous deep reinforcement learning Manfred Eppe S. Magg S. Wermter 21 19 0 17 Sep 2018
On-line Adaptative Curriculum Learning for GANs T. Doan João Monteiro Isabela Albuquerque Bogdan Mazoure A. Durand Joelle Pineau R. Devon Hjelm 25 42 0 31 Jul 2018
Region Growing Curriculum Generation for Reinforcement Learning Artem Molchanov Karol Hausman Stan Birchfield Gaurav Sukhatme 22 2 0 04 Jul 2018
Many-Goals Reinforcement Learning Vivek Veeriah Junhyuk Oh Satinder Singh KELM 11 53 0 22 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 46 106 0 12 Jun 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 17 795 0 21 May 2018
Recall Traces: Backtracking Models for Efficient Reinforcement Learning Anirudh Goyal Philemon Brakel W. Fedus Soumye Singhal Timothy Lillicrap Sergey Levine Hugo Larochelle Yoshua Bengio OffRL 11 67 0 02 Apr 2018
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning Michel Breyer Fadri Furrer Tonci Novkovic Roland Siegwart Juan I. Nieto SSL OffRL 11 47 0 13 Mar 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents Nick Haber Damian Mrowca Li Fei-Fei Daniel L. K. Yamins LRM 22 117 0 21 Feb 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 13 157 0 14 Feb 2018
Learning Symmetric and Low-energy Locomotion Wenhao Yu Greg Turk C. Karen Liu 19 183 0 24 Jan 2018
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning Benjamin Eysenbach S. Gu Julian Ibarz Sergey Levine CLL 27 137 0 18 Nov 2017
Hindsight policy gradients Paulo E. Rauber Avinash Ummadisingu Filipe Wall Mutz J. Schmidhuber 22 68 0 16 Nov 2017
Reverse Curriculum Generation for Reinforcement Learning Carlos Florensa David Held Markus Wulfmeier Michael Zhang Pieter Abbeel 24 434 0 17 Jul 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 9 2,291 0 05 Jul 2017
Teacher-Student Curriculum Learning Tambet Matiisen Avital Oliver Taco S. Cohen John Schulman ODL 23 370 0 01 Jul 2017
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play Sainbayar Sukhbaatar Zeming Lin Ilya Kostrikov Gabriel Synnaeve Arthur Szlam Rob Fergus SSL 15 329 0 15 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017