Globally Optimal Hierarchical Reinforcement Learning for
Linearly-Solvable Markov Decision Processes

Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes

29 June 2021

Guillermo Infante

Anders Jonsson

Papers citing "Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes"

6 / 6 papers shown

Title
The Option Keyboard: Combining Skills in Reinforcement Learning André Barreto Diana Borsa Shaobo Hou Gheorghe Comanici Eser Aygun ... Daniel Toyama Jonathan J. Hunt Shibl Mourad David Silver Doina Precup 61 99 0 24 Jun 2021
Logistic Q-Learning Joan Bas-Serrano Sebastian Curi Andreas Krause Gergely Neu 67 40 0 21 Oct 2020
A Boolean Task Algebra for Reinforcement Learning Geraud Nangue Tasse Steven D. James Benjamin Rosman 49 54 0 06 Jan 2020
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 73 672 0 02 May 2018
Composable Deep Reinforcement Learning for Robotic Manipulation Tuomas Haarnoja Vitchyr H. Pong Aurick Zhou Murtaza Dalal Pieter Abbeel Sergey Levine 116 233 0 19 Mar 2018
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 191 8,851 0 04 Feb 2016