Automatic Goal Generation for Reinforcement Learning Agents

17 May 2017

Pieter Abbeel

Papers citing "Automatic Goal Generation for Reinforcement Learning Agents"

50 / 296 papers shown

Title
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation Zhenshan Bing Matthias Brucker F. O. Morin Kai-Qi Huang Alois C. Knoll 19 27 0 27 Jul 2020
Learning Compositional Neural Programs for Continuous Control Thomas Pierrot Nicolas Perrin Feryal M. P. Behbahani Alexandre Laterre Olivier Sigaud Karim Beguir Nando de Freitas CLL 28 4 0 27 Jul 2020
A Provably Efficient Sample Collection Strategy for Reinforcement Learning Jean Tarbouriech Matteo Pirotta Michal Valko A. Lazaric OffRL 10 16 0 13 Jul 2020
Adaptive Procedural Task Generation for Hard-Exploration Problems Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 14 24 0 01 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 25 47 0 30 Jun 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 25 9 0 26 Jun 2020
Ecological Reinforcement Learning John D. Co-Reyes Suvansh Sanjeev Glen Berseth Abhishek Gupta Sergey Levine OffRL 22 23 0 22 Jun 2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 10 91 0 22 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 27 125 0 22 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 22 80 0 20 Jun 2020
On Reward-Free Reinforcement Learning with Linear Function Approximation Ruosong Wang S. Du Lin F. Yang Ruslan Salakhutdinov OffRL 9 105 0 19 Jun 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 27 103 0 17 Jun 2020
Grounding Language to Autonomously-Acquired Skills via Goal Generation Ahmed Akakzia Cédric Colas Pierre-Yves Oudeyer Mohamed Chetouani Olivier Sigaud LM&Ro 9 3 0 12 Jun 2020
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL Cédric Colas Ahmed Akakzia Pierre-Yves Oudeyer Mohamed Chetouani Olivier Sigaud LM&Ro 16 17 0 12 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 6 24 0 01 Jun 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 24 1 0 21 May 2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning Michelle A. Lee Carlos Florensa Jonathan Tremblay Nathan D. Ratliff Animesh Garg Fabio Ramos D. Fox 15 60 0 21 May 2020
Progressive growing of self-organized hierarchical representations for exploration Mayalen Etcheverry Pierre-Yves Oudeyer Chris Reinke 11 0 0 13 May 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters J. Pajarinen ODL 22 54 0 24 Apr 2020
Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 6 1 0 07 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 12 26 0 06 Apr 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 14 123 0 19 Mar 2020
Meta-learning curiosity algorithms Ferran Alet Martin Schneider Tomas Lozano-Perez L. Kaelbling 22 63 0 11 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 152 458 0 10 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 17 167 0 10 Mar 2020
Deep Adversarial Reinforcement Learning for Object Disentangling Melvin Laux O. Arenz Jan Peters J. Pajarinen DRL 14 3 0 08 Mar 2020
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients Ashley D. Edwards Himanshu Sahni Rosanne Liu Jane Hung Ankit Jain Rui Wang Adrien Ecoffet Thomas Miconi Charles Isbell J. Yosinski OffRL 12 18 0 21 Feb 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration Cédric Colas Tristan Karch Nicolas Lair Jean-Michel Dussoux Clément Moulin-Frier Peter Ford Dominey Pierre-Yves Oudeyer LM&Ro LLMAG LRM 14 118 0 21 Feb 2020
Generating Automatic Curricula via Self-Supervised Active Domain Randomization Sharath Chandra Raparthy Bhairav Mehta Florian Golemo Liam Paull 12 8 0 18 Feb 2020
Learning to Prove Theorems by Learning to Generate Theorems Mingzhe Wang Jia Deng NAI 9 50 0 17 Feb 2020
Semi-Supervised Class Discovery Jeremy Nixon J. Liu David Berthelot 12 2 0 10 Feb 2020
Soft Hindsight Experience Replay Qiwei He Liansheng Zhuang Houqiang Li 6 9 0 06 Feb 2020
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling Rohan Chitnis Tom Silver J. Tenenbaum L. Kaelbling Tomas Lozano-Perez LM&Ro 22 4 0 22 Jan 2020
Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback Binyamin Manela 6 0 0 12 Jan 2020
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning R. Li Allan Jabri Trevor Darrell Pulkit Agrawal OffRL 13 111 0 23 Dec 2019
How Should an Agent Practice? Janarthanan Rajendran Richard L. Lewis Vivek Veeriah Honglak Lee Satinder Singh 16 9 0 15 Dec 2019
Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh Abhishek Gupta Ashwin Reddy Justin Fu Coline Devin Benjamin Eysenbach Sergey Levine 24 33 0 12 Dec 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning Allan Jabri Kyle Hsu Benjamin Eysenbach Abhishek Gupta Sergey Levine Chelsea Finn VLM OOD SSL OffRL 19 64 0 09 Dec 2019
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 57 214 0 19 Nov 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 48 109 0 04 Nov 2019
Learning from Trajectories via Subgoal Discovery S. Paul J. Baar A. Roy-Chowdhury 81 47 0 03 Nov 2019
Policy Continuation with Hindsight Inverse Dynamics Hao Sun Zhizhong Li Xiaotong Liu Dahua Lin Bolei Zhou 16 38 0 30 Oct 2019
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control Lukás Hermann Max Argus Andreas Eitel Artemij Amiranashvili Wolfram Burgard Thomas Brox 6 24 0 17 Oct 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations Ozsel Kilinc Giovanni Montana 7 37 0 16 Oct 2019
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments Rémy Portelas Cédric Colas Katja Hofmann Pierre-Yves Oudeyer 14 143 0 16 Oct 2019
Self-Paced Contextual Reinforcement Learning Pascal Klink Hany Abdulsamad Boris Belousov Jan Peters 14 48 0 07 Oct 2019
Automated curricula through setter-solver interactions S. Racanière Andrew Kyle Lampinen Adam Santoro David P. Reichert Vlad Firoiu Timothy Lillicrap 13 53 0 27 Sep 2019
Discovery of Useful Questions as Auxiliary Tasks Vivek Veeriah Matteo Hessel Zhongwen Xu Richard L. Lewis Janarthanan Rajendran Junhyuk Oh H. V. Hasselt David Silver Satinder Singh LLMAG 9 86 0 10 Sep 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 8 143 0 19 Aug 2019
Hindsight Trust Region Policy Optimization Hanbo Zhang Site Bai Xuguang Lan David Hsu Nanning Zheng 30 8 0 29 Jul 2019