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Stochastic Neural Networks for Hierarchical Reinforcement Learning

Stochastic Neural Networks for Hierarchical Reinforcement Learning

10 April 2017
Carlos Florensa
Yan Duan
Pieter Abbeel
    BDL
ArXiv (abs)PDFHTML

Papers citing "Stochastic Neural Networks for Hierarchical Reinforcement Learning"

21 / 221 papers shown
Neuronal Circuit Policies
Neuronal Circuit Policies
Mathias Lechner
Ramin M. Hasani
Radu Grosu
67
12
0
22 Mar 2018
Disentangling the independently controllable factors of variation by
  interacting with the world
Disentangling the independently controllable factors of variation by interacting with the world
Valentin Thomas
Emmanuel Bengio
W. Fedus
Jules Pondard
Philippe Beaudoin
Hugo Larochelle
Joelle Pineau
Doina Precup
Yoshua Bengio
DRLCoGeCML
240
65
0
26 Feb 2018
Meta-Reinforcement Learning of Structured Exploration Strategies
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta
Russell Mendonca
YuXuan Liu
Pieter Abbeel
Sergey Levine
OffRL
272
370
0
20 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach
Abhishek Gupta
Julian Ibarz
Sergey Levine
889
1,204
0
16 Feb 2018
Hierarchical Learning for Modular Robots
Hierarchical Learning for Modular Robots
R. Kojcev
Nora Etxezarreta
Alejandro Hernández
Víctor Mayoral
112
4
0
12 Feb 2018
The Eigenoption-Critic Framework
The Eigenoption-Critic Framework
Miao Liu
Marlos C. Machado
Gerald Tesauro
Murray Campbell
165
15
0
11 Dec 2017
Layer-wise Learning of Stochastic Neural Networks with Information
  Bottleneck
Layer-wise Learning of Stochastic Neural Networks with Information Bottleneck
Thanh T. Nguyen
Jaesik Choi
344
13
0
04 Dec 2017
Hierarchical Policy Search via Return-Weighted Density Estimation
Hierarchical Policy Search via Return-Weighted Density Estimation
Takayuki Osa
Masashi Sugiyama
122
15
0
28 Nov 2017
Eigenoption Discovery through the Deep Successor Representation
Eigenoption Discovery through the Deep Successor Representation
Marlos C. Machado
Clemens Rosenbaum
Xiaoxiao Guo
Miao Liu
Gerald Tesauro
Murray Campbell
236
153
0
30 Oct 2017
Meta Learning Shared Hierarchies
Meta Learning Shared HierarchiesInternational Conference on Learning Representations (ICLR), 2017
Kevin Frans
Jonathan Ho
Xi Chen
Pieter Abbeel
John Schulman
200
372
0
26 Oct 2017
DDCO: Discovery of Deep Continuous Options for Robot Learning from
  Demonstrations
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
S. Krishnan
Roy Fox
Ion Stoica
Ken Goldberg
185
87
0
15 Oct 2017
Multi-task Learning with Gradient Guided Policy Specialization
Multi-task Learning with Gradient Guided Policy Specialization
Wenhao Yu
Chenxi Liu
Greg Turk
99
3
0
23 Sep 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement
  Learning
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Junhyuk Oh
Satinder Singh
Honglak Lee
Pushmeet Kohli
OffRL
284
278
0
15 Jun 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using
  Generative Adversarial Nets
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial NetsNeural Information Processing Systems (NeurIPS), 2017
Karol Hausman
Yevgen Chebotar
S. Schaal
Gaurav Sukhatme
Joseph J. Lim
GAN
272
157
0
30 May 2017
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
526
554
0
17 May 2017
Discrete Sequential Prediction of Continuous Actions for Deep RL
Discrete Sequential Prediction of Continuous Actions for Deep RL
Luke Metz
Julian Ibarz
Navdeep Jaitly
James Davidson
BDLOffRL
330
132
0
14 May 2017
Multi-Level Discovery of Deep Options
Multi-Level Discovery of Deep Options
Roy Fox
S. Krishnan
Ion Stoica
Ken Goldberg
257
130
0
24 Mar 2017
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu
John D. Co-Reyes
Sergey Levine
OffRL
259
160
0
03 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies
Reinforcement Learning with Deep Energy-Based PoliciesInternational Conference on Machine Learning (ICML), 2017
Tuomas Haarnoja
Haoran Tang
Pieter Abbeel
Sergey Levine
416
1,495
0
27 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
959
1,742
0
25 Jan 2017
Options Discovery with Budgeted Reinforcement Learning
Options Discovery with Budgeted Reinforcement Learning
Aurélia Léon
Ludovic Denoyer
OffRL
252
4
0
21 Nov 2016
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