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Abstract Value Iteration for Hierarchical Reinforcement Learning

29 October 2020

Papers citing "Abstract Value Iteration for Hierarchical Reinforcement Learning"

22 / 22 papers shown

Title
A Composable Specification Language for Reinforcement Learning Tasks Kishor Jothimurugan Rajeev Alur Osbert Bastani 80 87 0 21 Aug 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 43 10 0 16 Dec 2019
Scalable methods for computing state similarity in deterministic Markov Decision Processes Pablo Samuel Castro 70 137 0 21 Nov 2019
Graph Policy Gradients for Large Scale Robot Control Arbaaz Khan Ekaterina V. Tolstaya Alejandro Ribeiro Vijay Kumar 60 93 0 08 Jul 2019
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning Shushman Choudhury Jacob P. Knickerbocker Mykel J. Kochenderfer 39 17 0 05 Feb 2019
Natural Option Critic Saket Tiwari Philip S. Thomas 51 22 0 04 Dec 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 82 211 0 02 Oct 2018
Approximate Exploration through State Abstraction Adrien Ali Taïga Aaron Courville Marc G. Bellemare 43 13 0 29 Aug 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 166 1,884 0 01 Aug 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 71 146 0 07 Jun 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 102 812 0 21 May 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 195 5,218 0 26 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 113 1,089 0 16 Feb 2018
Deep Abstract Q-Networks Melrose Roderick Christopher Grimm Stefanie Tellex 94 33 0 02 Oct 2017
A Laplacian Framework for Option Discovery in Reinforcement Learning Marlos C. Machado Marc G. Bellemare Michael Bowling 101 263 0 02 Mar 2017
Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn Tianhe Yu Justin Fu Pieter Abbeel Sergey Levine OffRL SSL 104 69 0 01 Dec 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 71 1,089 0 16 Sep 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 76 1,141 0 20 Apr 2016
Funnel Libraries for Real-Time Robust Feedback Motion Planning Anirudha Majumdar Russ Tedrake 86 368 0 15 Jan 2016
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 315 3,444 0 02 Apr 2015
Metrics for Finite Markov Decision Processes N. Ferns Prakash Panangaden Doina Precup 84 320 0 11 Jul 2012
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 259 3,238 0 02 Nov 2010