Stochastic Neural Networks for Hierarchical Reinforcement Learning

10 April 2017

Pieter Abbeel

Papers citing "Stochastic Neural Networks for Hierarchical Reinforcement Learning"

50 / 218 papers shown

Title
Discovering Diverse Solutions in Deep Reinforcement Learning by Maximizing State-Action-Based Mutual Information Takayuki Osa Voot Tangkaratt Masashi Sugiyama 11 31 0 12 Mar 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann S. Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 33 25 0 24 Feb 2021
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems Yaodong Yang Jun Luo Ying Wen Oliver Slumbers D. Graves H. Ammar Jun Wang Matthew E. Taylor 21 35 0 15 Feb 2021
State-Aware Variational Thompson Sampling for Deep Q-Networks Siddharth Aravindan W. Lee 6 6 0 07 Feb 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 132 82 0 16 Jan 2021
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp Junfan Lin Zhongzhan Huang Keze Wang Xiaodan Liang Weiwei Chen Liang Lin 11 11 0 30 Nov 2020
Latent Skill Planning for Exploration and Transfer Kevin Xie Homanga Bharadhwaj Danijar Hafner Animesh Garg Florian Shkurti 39 20 0 27 Nov 2020
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion Deepali Jain Atil Iscen Ken Caluwaerts 21 35 0 23 Nov 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh Huihan Liu G. Zhou Albert Yu Nicholas Rhinehart Sergey Levine OffRL OnRL 30 138 0 19 Nov 2020
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi 14 3 0 16 Nov 2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 33 33 0 10 Nov 2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity Tanmay Gangwani Jian Peng Yuanshuo Zhou 19 10 0 05 Nov 2020
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning Valerie Chen Abhinav Gupta Kenneth Marino OffRL 20 40 0 01 Nov 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness Long Zhao Ting Liu Xi Peng Dimitris N. Metaxas OOD AAML 19 165 0 15 Oct 2020
Temporal Difference Uncertainties as a Signal for Exploration Sebastian Flennerhag Jane X. Wang Pablo Sprechmann Francesco Visin Alexandre Galashov Steven Kapturowski Diana Borsa N. Heess André Barreto Razvan Pascanu OffRL 8 14 0 05 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 12 9 0 03 Oct 2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning M. Berk Mirza Andrew Jaegle Jonathan J. Hunt A. Guez S. Tunyasuvunakool ... Peter Karkus S. Racanière Lars Buesing Timothy Lillicrap N. Heess AI4CE 23 12 0 11 Sep 2020
Action and Perception as Divergence Minimization Danijar Hafner Pedro A. Ortega Jimmy Ba Thomas Parr Karl J. Friston N. Heess 19 51 0 03 Sep 2020
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation Hongyu Ren Yuke Zhu J. Leskovec Anima Anandkumar Animesh Garg LRM 17 4 0 17 Aug 2020
A Development Cycle for Automated Self-Exploration of Robot Behaviors T. Roehr Daniel Harnack Hendrik Wöhrle Felix Wiebe M. Schilling Oscar Lima M. Langosz Shivesh Kumar S. Straube Frank Kirchner 19 2 0 29 Jul 2020
Learning the Solution Manifold in Optimization and Its Application in Motion Planning Takayuki Osa 6 2 0 24 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
ELSIM: End-to-end learning of reusable skills through intrinsic motivation A. Aubret L. Matignon S. Hassas 13 5 0 23 Jun 2020
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information Pengyu Cheng Weituo Hao Shuyang Dai Jiachang Liu Zhe Gan Lawrence Carin VLM 6 340 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
From proprioception to long-horizon planning in novel environments: A hierarchical RL model Nishad Gothoskar Miguel Lázaro-Gredilla Dileep George 18 0 0 11 Jun 2020
Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts R. Akrour Davide Tateo Jan Peters 12 21 0 10 Jun 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
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 13 13 0 21 May 2020
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics Stéphane Doncieux Nicolas Bredèche L. L. Goff Benoît Girard Alexandre Coninx ... Natalia Díaz Rodríguez David Filliat Timothy M. Hospedales A. E. Eiben Richard J. Duro 11 19 0 13 May 2020
Hierarchical Reinforcement Learning for Automatic Disease Diagnosis Cheng Zhong Kangenbei Liao Wei Chen Qianlong Liu Baolin Peng Xuanjing Huang J. Peng Zhongyu Wei OffRL 11 3 0 29 Apr 2020
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning Archit Sharma Michael Ahn Sergey Levine Vikash Kumar Karol Hausman S. Gu SSL OffRL 10 46 0 27 Apr 2020
Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations Ajay Mandlekar Danfei Xu Roberto Martín-Martín Silvio Savarese Li Fei-Fei OffRL 25 133 0 13 Mar 2020
Option Discovery in the Absence of Rewards with Manifold Analysis Amitay Bar Ronen Talmon Ron Meir 19 5 0 12 Mar 2020
Meta-learning curiosity algorithms Ferran Alet Martin Schneider Tomas Lozano-Perez L. Kaelbling 25 63 0 11 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer D. Hejna Pieter Abbeel Lerrel Pinto LM&Ro 20 40 0 03 Mar 2020
Generalized Hindsight for Reinforcement Learning Alexander C. Li Lerrel Pinto Pieter Abbeel 19 69 0 26 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 22 25 0 14 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 19 150 0 10 Feb 2020
Temporal-adaptive Hierarchical Reinforcement Learning Wen-Ji Zhou Yang Yu 6 3 0 06 Feb 2020
Inter-Level Cooperation in Hierarchical Reinforcement Learning Abdul Rahman Kreidieh Yiling You Nathan Lichtlé Samyak Parajuli Rayyan Nasr Alexandre M. Bayen 34 14 0 05 Dec 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation Juncheng Li Qing Guo Siliang Tang Haizhou Shi Fei Wu Yueting Zhuang William Yang Wang SSL 43 68 0 18 Nov 2019
Learning from Trajectories via Subgoal Discovery S. Paul J. Baar A. Roy-Chowdhury 81 47 0 03 Nov 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 140 355 0 16 Oct 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 16 137 0 12 Oct 2019
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards Siyuan Li Rui Wang Minxue Tang Chongjie Zhang 8 82 0 10 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 11 41 0 09 Oct 2019
Playing Atari Ball Games with Hierarchical Reinforcement Learning Hua Huang Adrian Barbu 4 0 0 27 Sep 2019
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? Ofir Nachum Haoran Tang Xingyu Lu S. Gu Honglak Lee Sergey Levine 19 99 0 23 Sep 2019