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
Learning to Design and Construct Bridge without Blueprint Yunfei Li Tao Kong Lei Li Yifeng Li Yi Wu 27 7 0 05 Aug 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 19 27 0 27 Jul 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 43 181 0 27 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang Dieter Fox 3DPC DRL 21 27 0 04 Jul 2021
Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer Yoonsuck Choe AI4CE 14 0 0 29 Jun 2021
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft I. Kanitscheider Joost Huizinga David Farhi William H. Guss Brandon Houghton ... Bowen Baker Adrien Ecoffet Jie Tang Oleg Klimov Jeff Clune 29 21 0 28 Jun 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 48 6 0 26 Jun 2021
MADE: Exploration via Maximizing Deviation from Explored Regions Tianjun Zhang Paria Rashidinejad Jiantao Jiao Yuandong Tian Joseph E. Gonzalez Stuart J. Russell OffRL 34 42 0 18 Jun 2021
Towards Distraction-Robust Active Visual Tracking Fangwei Zhong Peng Sun Wenhan Luo Tingyun Yan Yizhou Wang AAML 30 33 0 18 Jun 2021
Automatic Curricula via Expert Demonstrations Siyu Dai Andreas G. Hofmann B. Williams 15 5 0 16 Jun 2021
Game of GANs: Game-Theoretical Models for Generative Adversarial Networks Monireh Mohebbi Moghadam Bahar Boroumand Mohammad Jalali Arman Zareian Alireza Daei Javad M. Manshaei Marwan Krunz GAN 42 27 0 13 Jun 2021
Curriculum Design for Teaching via Demonstrations: Theory and Applications Gaurav Yengera R. Devidze Parameswaran Kamalaruban Adish Singla 24 7 0 08 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 22 8 0 06 Jun 2021
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 22 4 0 03 Jun 2021
What Can I Do Here? Learning New Skills by Imagining Visual Affordances Alexander Khazatsky Ashvin Nair Dan Jing Sergey Levine LM&Ro 4 33 0 01 Jun 2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture Suyoung Lee Sae-Young Chung OffRL AI4CE 18 16 0 28 May 2021
Towards Teachable Autotelic Agents Olivier Sigaud Ahmed Akakzia Hugo Caselles-Dupré Cédric Colas Pierre-Yves Oudeyer Mohamed Chetouani 26 7 0 25 May 2021
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness Mathieu Seurin Florian Strub Philippe Preux Olivier Pietquin 32 9 0 20 May 2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks Menghui Zhu Minghuan Liu Jian Shen Zhicheng Zhang Sheng Chen Weinan Zhang Deheng Ye Yong Yu Qiang Fu Wei Yang 36 22 0 13 May 2021
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies Soroush Nasiriany Vitchyr H. Pong Ashvin Nair Alexander Khazatsky Glen Berseth Sergey Levine OffRL 66 14 0 23 Apr 2021
Partition-Guided GANs Mohammadreza Armandpour A. Sadeghian Chunyuan Li Mingyuan Zhou GAN 30 19 0 02 Apr 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
Goal-constrained Sparse Reinforcement Learning for End-to-End Driving Pranav Agarwal Pierre de Beaucorps Raoul de Charette 29 3 0 16 Mar 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction Yunfei Li Yilin Wu Huazhe Xu Xiaolong Wang Yi Wu 28 19 0 13 Mar 2021
Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions Ivana Dusparic Nicolás Cardozo 19 5 0 11 Mar 2021
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning Pascal Klink Hany Abdulsamad Boris Belousov Carlo DÉramo Jan Peters Joni Pajarinen 40 23 0 25 Feb 2021
State Entropy Maximization with Random Encoders for Efficient Exploration Younggyo Seo Lili Chen Jinwoo Shin Honglak Lee Pieter Abbeel Kimin Lee 29 121 0 18 Feb 2021
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach Nicola Milano S. Nolfi 92 10 0 17 Feb 2021
Adversarially Guided Actor-Critic Yannis Flet-Berliac Johan Ferret Olivier Pietquin Philippe Preux M. Geist 29 70 0 08 Feb 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 24 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 82 76 0 13 Jan 2021
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs Jean Tarbouriech Matteo Pirotta Michal Valko A. Lazaric 19 13 0 29 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 49 310 0 25 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 29 85 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 22 1 0 27 Nov 2020
Autonomous learning of multiple, context-dependent tasks V. Santucci Davide Montella Bruno C. da Silva Gianluca Baldassarre 22 1 0 27 Nov 2020
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 35 8 0 16 Nov 2020
Hierarchical reinforcement learning for efficient exploration and transfer Lorenzo Steccanella Simone Totaro Damien Allonsius Anders Jonsson BDL 24 8 0 12 Nov 2020
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning Valerie Chen Abhinav Gupta Kenneth Marino OffRL 33 40 0 01 Nov 2020
A Survey on Curriculum Learning Xin Wang Yudong Chen Wenwu Zhu SyDa 32 22 0 25 Oct 2020
Learning Quadrupedal Locomotion over Challenging Terrain Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 32 1,134 0 21 Oct 2020
Hyperparameter Auto-tuning in Self-Supervised Robotic Learning Jiancong Huang Juan Rojas Matthieu Zimmer Hongmin Wu Y. Guan Paul Weng SSL 13 8 0 16 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 17 9 0 03 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds Lirui Wang Yu Xiang Wei Yang Arsalan Mousavian Dieter Fox 3DPC 18 44 0 02 Oct 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 30 562 0 16 Sep 2020
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments Steven D. Morad R. Mecca Rudra P. K. Poudel Stephan Liwicki R. Cipolla 13 41 0 11 Sep 2020
Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks Binyamin Manela Armin Biess 37 28 0 21 Aug 2020
Inverse Reinforcement Learning with Natural Language Goals Li Zhou Kevin Small 36 37 0 16 Aug 2020
REMAX: Relational Representation for Multi-Agent Exploration Heechang Ryu Hayong Shin Jinkyoo Park 18 4 0 12 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals Ozsel Kilinc Giovanni Montana 16 5 0 05 Aug 2020