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Evolved Policy Gradients


Apr 29, 2018
Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel


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Some Considerations on Learning to Explore via Meta-Reinforcement Learning


Mar 03, 2018
Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever


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Parameter Space Noise for Exploration


Jan 31, 2018
Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz

* Updated to camera-ready ICLR submission 

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


Dec 05, 2017
Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel

* 10 pages main text + 10 pages supplementary. Published at NIPS 2017 

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VIME: Variational Information Maximizing Exploration


Jan 27, 2017
Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel

* Published in Advances in Neural Information Processing Systems 29 (NIPS), pages 1109-1117 

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InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets


Jun 12, 2016
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel


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Benchmarking Deep Reinforcement Learning for Continuous Control


May 27, 2016
Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel

* 14 pages, ICML 2016 

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


Mar 03, 2016
Rein Houthooft, Filip De Turck


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