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Hierarchical Reinforcement Learning for Concurrent Discovery of Compound
  and Composable Policies

Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies

23 May 2019
Domingo Esteban
Leonel Rozo
D. Caldwell
    OffRL
ArXivPDFHTML

Papers citing "Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies"

11 / 11 papers shown
Title
Soft Actor-Critic Algorithms and Applications
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
...
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
88
2,391
0
13 Dec 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial
  and Review
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
AI4CE
BDL
35
667
0
02 May 2018
Composable Deep Reinforcement Learning for Robotic Manipulation
Composable Deep Reinforcement Learning for Robotic Manipulation
Tuomas Haarnoja
Vitchyr H. Pong
Aurick Zhou
Murtaza Dalal
Pieter Abbeel
Sergey Levine
75
230
0
19 Mar 2018
Policy Search in Continuous Action Domains: an Overview
Policy Search in Continuous Action Domains: an Overview
Olivier Sigaud
F. Stulp
21
72
0
13 Mar 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch
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
51
446
0
28 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
138
8,227
0
04 Jan 2018
The Intentional Unintentional Agent: Learning to Solve Many Continuous
  Control Tasks Simultaneously
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
Serkan Cabi
Sergio Gomez Colmenarejo
Matthew W. Hoffman
Misha Denil
Ziyun Wang
Nando de Freitas
51
31
0
11 Jul 2017
A unified view of entropy-regularized Markov decision processes
A unified view of entropy-regularized Markov decision processes
Gergely Neu
Anders Jonsson
Vicencc Gómez
74
256
0
22 May 2017
Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
22
1,225
0
16 Nov 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
97
13,174
0
09 Sep 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
136
3,418
0
02 Apr 2015
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