Papers citing 'Automatic Goal Generation for Reinforcement Learning Agents'

Title
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement LearningJournal of machine learning research (JMLR), 2021 Pascal Klink Hany Abdulsamad Boris Belousov Carlo DÉramo Jan Peters Joni Pajarinen 208 27 0 25 Feb 2021
State Entropy Maximization with Random Encoders for Efficient ExplorationInternational Conference on Machine Learning (ICML), 2021 Younggyo Seo Lili Chen Jinwoo Shin Honglak Lee Pieter Abbeel Kimin Lee 211 146 0 18 Feb 2021
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary ApproachScientific Reports (Sci Rep), 2021 Nicola Milano S. Nolfi 182 12 0 17 Feb 2021
Adversarially Guided Actor-CriticInternational Conference on Learning Representations (ICLR), 2021 Yannis Flet-Berliac Johan Ferret Olivier Pietquin Philippe Preux Matthieu Geist 135 78 0 08 Feb 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 178 5 0 14 Jan 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 250 90 0 13 Jan 2021
Improved Sample Complexity for Incremental Autonomous Exploration in MDPsNeural Information Processing Systems (NeurIPS), 2020 Jean Tarbouriech Matteo Pirotta Michal Valko A. Lazaric 147 13 0 29 Dec 2020
Towards Continual Reinforcement Learning: A Review and PerspectivesJournal of Artificial Intelligence Research (JAIR), 2020 Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 429 370 0 25 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short SurveyJournal of Artificial Intelligence Research (JAIR), 2020 Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 740 118 0 17 Dec 2020
REAL-X -- Robot open-Ended Autonomous Learning Architectures: Achieving Truly End-to-End Sensorimotor Autonomous Learning Systems Emilio Cartoni Davide Montella Jochen Triesch Gianluca Baldassarre Institute of Cognitive Sciences 89 3 0 27 Nov 2020
Autonomous learning of multiple, context-dependent tasks V. Santucci Davide Montella Bruno C. da Silva Gianluca Baldassarre 104 1 0 27 Nov 2020
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 147 8 0 16 Nov 2020
Hierarchical reinforcement learning for efficient exploration and transfer Lorenzo Steccanella Simone Totaro Damien Allonsius Anders Jonsson BDL 118 9 0 12 Nov 2020
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2020 Valerie Chen Abhinav Gupta Kenneth Marino OffRL 329 44 0 01 Nov 2020
A Survey on Curriculum Learning Xin Eric Wang Yudong Chen Wenwu Zhu SyDa 291 24 0 25 Oct 2020
Learning Quadrupedal Locomotion over Challenging Terrain Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 311 1,403 0 21 Oct 2020
Hyperparameter Auto-tuning in Self-Supervised Robotic LearningIEEE Robotics and Automation Letters (RA-L), 2020 Jiancong Huang Juan Rojas Matthieu Zimmer Hongmin Wu Y. Guan Paul Weng SSL 267 10 0 16 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 172 11 0 03 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point CloudsConference on Robot Learning (CoRL), 2020 Lirui Wang Yu Xiang Wei Yang Arsalan Mousavian Dieter Fox 3DPC 420 56 0 02 Oct 2020
Transfer Learning in Deep Reinforcement Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 502 765 0 16 Sep 2020
Embodied Visual Navigation with Automatic Curriculum Learning in Real EnvironmentsIEEE Robotics and Automation Letters (RA-L), 2020 Steven D. Morad R. Mecca Rudra P. K. Poudel Stephan Liwicki R. Cipolla 197 48 0 11 Sep 2020
Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks Binyamin Manela Armin Biess 107 30 0 21 Aug 2020
Inverse Reinforcement Learning with Natural Language Goals Li Zhou Kevin Small 320 39 0 16 Aug 2020
REMAX: Relational Representation for Multi-Agent ExplorationAdaptive Agents and Multi-Agent Systems (AAMAS), 2020 Heechang Ryu Hayong Shin Jinkyoo Park 151 4 0 12 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals Ozsel Kilinc Giovanni Montana 124 5 0 05 Aug 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal GenerationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Zhenshan Bing Matthias Brucker F. O. Morin Kai-Qi Huang Alois C. Knoll 129 34 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 219 4 0 27 Jul 2020
A Provably Efficient Sample Collection Strategy for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2020 Jean Tarbouriech Matteo Pirotta Michal Valko A. Lazaric OffRL 212 18 0 13 Jul 2020
Adaptive Procedural Task Generation for Hard-Exploration Problems Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 246 30 0 01 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 407 63 0 30 Jun 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 393 10 0 26 Jun 2020
Ecological Reinforcement Learning John D. Co-Reyes Suvansh Sanjeev Glen Berseth Abhishek Gupta Sergey Levine OffRL 169 24 0 22 Jun 2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 195 97 0 22 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 240 134 0 22 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 280 98 0 20 Jun 2020
On Reward-Free Reinforcement Learning with Linear Function Approximation Ruosong Wang S. Du Lin F. Yang Ruslan Salakhutdinov OffRL 173 113 0 19 Jun 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 169 120 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 168 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 137 20 0 12 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple GoalsNeural Information Processing Systems (NeurIPS), 2020 Henry Charlesworth Giovanni Montana OffRL 294 28 0 01 Jun 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 160 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 Dieter Fox 235 65 0 21 May 2020
Progressive growing of self-organized hierarchical representations for exploration Mayalen Etcheverry Pierre-Yves Oudeyer Chris Reinke 94 0 0 13 May 2020
Self-Paced Deep Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2020 Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 290 61 0 24 Apr 2020
Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 121 1 0 07 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable BehaviorNeural Information Processing Systems (NeurIPS), 2020 Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 196 26 0 06 Apr 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their SolutionsInternational Conference on Machine Learning (ICML), 2020 Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 282 141 0 19 Mar 2020
Meta-learning curiosity algorithmsInternational Conference on Learning Representations (ICLR), 2020 Ferran Alet Martin Schneider Tomas Lozano-Perez L. Kaelbling 221 67 0 11 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and SurveyJournal of machine learning research (JMLR), 2020 Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 392 600 0 10 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 280 198 0 10 Mar 2020