Hierarchical Reinforcement Learning By Discovering Intrinsic Options

16 January 2021

Papers citing "Hierarchical Reinforcement Learning By Discovering Intrinsic Options"

29 / 29 papers shown

Title
Revisiting Fundamentals of Experience Replay W. Fedus Prajit Ramachandran Rishabh Agarwal Yoshua Bengio Hugo Larochelle Mark Rowland Will Dabney KELM OffRL 61 240 0 13 Jul 2020
Planning with Abstract Learned Models While Learning Transferable Subtasks J. Winder Stephanie Milani Matthew Landen Erebus Oh Shane Parr S. Squire Marie desJardins Cynthia Matuszek 41 10 0 16 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 58 65 0 09 Dec 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 91 408 0 02 Jul 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 47 73 0 13 Jun 2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning Caleb Chuck Supawit Chockchowwat S. Niekum 38 14 0 27 May 2019
Learning Latent Plans from Play Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine P. Sermanet SSL LM&Ro 86 403 0 05 Mar 2019
Natural Option Critic Saket Tiwari Philip S. Thomas 47 22 0 04 Dec 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 71 177 0 28 Nov 2018
Hierarchical visuomotor control of humanoids J. Merel Arun Ahuja Vu Pham S. Tunyasuvunakool Siqi Liu Dhruva Tirumala N. Heess Greg Wayne 82 97 0 23 Nov 2018
Learning Representations in Model-Free Hierarchical Reinforcement Learning J. Rafati D. Noelle 45 45 0 23 Oct 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information Arjun Sharma Mohit Sharma Nicholas Rhinehart Kris Kitani 48 68 0 29 Sep 2018
Variational Option Discovery Algorithms Joshua Achiam Harrison Edwards Dario Amodei Pieter Abbeel DRL 61 179 0 26 Jul 2018
Safe Option-Critic: Learning Safety in the Option-Critic Architecture Arushi Jain Khimya Khetarpal Doina Precup 59 27 0 21 Jul 2018
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies Sungryull Sohn Junhyuk Oh Honglak Lee 100 65 0 19 Jul 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 198 1,272 0 30 May 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 94 807 0 21 May 2018
Hierarchical Imitation and Reinforcement Learning Hoang Minh Le Nan Jiang Alekh Agarwal Miroslav Dudík Yisong Yue Hal Daumé 56 192 0 01 Mar 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 83 447 0 28 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 89 1,083 0 16 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 281 8,313 0 04 Jan 2018
Learnings Options End-to-End for Continuous Action Tasks Martin Klissarov Pierre-Luc Bacon J. Harb Doina Precup 50 55 0 30 Nov 2017
Efficient Parallel Methods for Deep Reinforcement Learning Alfredo V. Clemente Humberto Nicolás Castejón Martínez A. Chandra 44 114 0 13 May 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 78 361 0 10 Apr 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 84 904 0 03 Mar 2017
Variational Intrinsic Control Karol Gregor Danilo Jimenez Rezende Daan Wierstra DRL OffRL 61 428 0 22 Nov 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 60 1,082 0 16 Sep 2016
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 210 3,786 0 18 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 298 13,214 0 09 Sep 2015