Stochastic Neural Networks for Hierarchical Reinforcement Learning

Stochastic Neural Networks for Hierarchical Reinforcement Learning

10 April 2017

Carlos Florensa

Pieter Abbeel

Papers citing "Stochastic Neural Networks for Hierarchical Reinforcement Learning"

18 / 218 papers shown

Title
Hierarchical Learning for Modular Robots R. Kojcev Nora Etxezarreta Alejandro Hernández Víctor Mayoral 11 4 0 12 Feb 2018
The Eigenoption-Critic Framework Miao Liu Marlos C. Machado Gerald Tesauro Murray Campbell 20 14 0 11 Dec 2017
Layer-wise Learning of Stochastic Neural Networks with Information Bottleneck Thanh T. Nguyen Jaesik Choi 20 13 0 04 Dec 2017
Hierarchical Policy Search via Return-Weighted Density Estimation Takayuki Osa Masashi Sugiyama 16 15 0 28 Nov 2017
Eigenoption Discovery through the Deep Successor Representation Marlos C. Machado Clemens Rosenbaum Xiaoxiao Guo Miao Liu Gerald Tesauro Murray Campbell 27 138 0 30 Oct 2017
Meta Learning Shared Hierarchies Kevin Frans Jonathan Ho Xi Chen Pieter Abbeel John Schulman 20 349 0 26 Oct 2017
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations S. Krishnan Roy Fox Ion Stoica Ken Goldberg 16 81 0 15 Oct 2017
Multi-task Learning with Gradient Guided Policy Specialization Wenhao Yu Chenxi Liu Greg Turk 21 2 0 23 Sep 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning Junhyuk Oh Satinder Singh Honglak Lee Pushmeet Kohli OffRL 20 269 0 15 Jun 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets Karol Hausman Yevgen Chebotar S. Schaal Gaurav Sukhatme Joseph J. Lim GAN 22 147 0 30 May 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 60 498 0 17 May 2017
Discrete Sequential Prediction of Continuous Actions for Deep RL Luke Metz Julian Ibarz Navdeep Jaitly James Davidson BDL OffRL 28 117 0 14 May 2017
Multi-Level Discovery of Deep Options Roy Fox S. Krishnan Ion Stoica Ken Goldberg 18 124 0 24 Mar 2017
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning Justin Fu John D. Co-Reyes Sergey Levine OffRL 23 155 0 03 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 26 1,311 0 27 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Options Discovery with Budgeted Reinforcement Learning Aurélia Léon Ludovic Denoyer OffRL 23 4 0 21 Nov 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 167 1,464 0 06 Jun 2016