Rein Houthooft | DeepAI

AI Chat

Featured Co-authors

Xi Chen
293 publications
Pieter Abbeel
263 publications
Phillip Isola
63 publications
Ilya Sutskever
53 publications
Yuhuai Wu
40 publications
Tamim Asfour
33 publications
John Schulman
31 publications
Jonathan Ho
22 publications
Yan Duan
16 publications
Filip De Turck
15 publications
Marcin Andrychowicz
15 publications

∙ 03/03/2018

Some Considerations on Learning to Explore via Meta-Reinforcement Learning

We consider the problem of exploration in meta reinforcement learning. T...

0 Bradly C. Stadie, et al. ∙

∙ 02/13/2018

Evolved Policy Gradients

We propose a meta-learning approach for learning gradient-based reinforc...

0 Rein Houthooft, et al. ∙

∙ 06/06/2017

Parameter Space Noise for Exploration

Deep reinforcement learning (RL) methods generally engage in exploratory...

0 Matthias Plappert, et al. ∙

∙ 11/15/2016

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

Count-based exploration algorithms are known to perform near-optimally w...

0 Haoran Tang, et al. ∙

∙ 06/12/2016

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

This paper describes InfoGAN, an information-theoretic extension to the ...

0 Xi Chen, et al. ∙

∙ 05/31/2016

VIME: Variational Information Maximizing Exploration

Scalable and effective exploration remains a key challenge in reinforcem...

0 Rein Houthooft, et al. ∙

∙ 08/03/2015

Integrated Inference and Learning of Neural Factors in Structural Support Vector Machines

Tackling pattern recognition problems in areas such as computer vision, ...

0 Rein Houthooft, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world