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Rein Houthooft
Rein Houthooft
Netflix Research
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Title
Cited by
Cited by
Year
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
X Chen, Y Duan, R Houthooft, J Schulman, I Sutskever, P Abbeel
Advances In Neural Information Processing Systems 29 (NIPS), 2172-2180, 2016
6846*2016
Benchmarking Deep Reinforcement Learning for Continuous Control
Y Duan, X Chen, R Houthooft, J Schulman, P Abbeel
Proceedings of the 33rd International Conference on Machine Learning (ICML …, 2016
21332016
VIME: Variational Information Maximizing Exploration
R Houthooft, X Chen, Y Duan, J Schulman, F De Turck, P Abbeel
Advances in Neural Information Processing Systems 29 (NIPS), 1109-1117, 2016
9832016
Parameter space noise for exploration
M Plappert, R Houthooft, P Dhariwal, S Sidor, RY Chen, X Chen, T Asfour, ...
International Conference on Learning Representations (ICLR), 2018
7642018
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
H Tang, R Houthooft, D Foote, A Stooke, X Chen, Y Duan, J Schulman, ...
Advances in Neural Information Processing Systems 30 (NIPS), 2017
7292017
Evolved policy gradients
R Houthooft, RY Chen, P Isola, BC Stadie, F Wolski, J Ho, P Abbeel
Advances in Neural Information Processing Systems 31 (NIPS), 2018
2882018
OpenAI Xi Chen, Yan Duan, John Schulman, Filip DeTurck, and Pieter Abbeel.# exploration: A study of count-based exploration for deep reinforcement learning
H Tang, R Houthooft, D Foote, A Stooke
Advances in neural information processing systems 30, 2753-2762, 2017
2432017
The Importance of Sampling in Meta-Reinforcement Learning
B Stadie, G Yang, R Houthooft, P Chen, Y Duan, Y Wu, P Abbeel, ...
Advances in Neural Information Processing Systems 31 (NeurIPS), 9299-9309, 2018
171*2018
Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores
R Houthooft, J Ruyssinck, J van der Herten, S Stijven, I Couckuyt, ...
Artificial Intelligence in Medicine 63 (3), 191-207, 2015
1082015
Generative Models
A Karpathy, P Abbeel, G Brockman, P Chen, V Cheung, R Duan, ...
OpenAI Blog, 2016
542016
Robust Geometric Forest Routing with Tunable Load Balancing
R Houthooft, S Sahhaf, W Tavernier, F De Turck, D Colle, M Pickavet
The 34th Annual IEEE International Conference on Computer Communications …, 2015
162015
Design of a security mechanism for RESTful web service communication through mobile clients
F De Backere, B Hanssens, R Heynssens, R Houthooft, A Zuliani, ...
IEEE/IFIP Network Operations and Management Symposium (NOMS), 1-6, 2014
132014
Fault-tolerant greedy forest routing for complex networks
R Houthooft, S Sahhaf, W Tavernier, F De Turck, D Colle, M Pickavet
The 6th International Workshop on Reliable Networks Design and Modeling …, 2014
102014
Controller for a Working Vehicle
B Debilde, CA Foster, R Houthooft, S Verstichel
US Patent App. 15/199,090, 2016
72016
Integrated inference and learning of neural factors in structural support vector machines
R Houthooft, F De Turck
Pattern Recognition 59, 292-301, 2016
52016
Structured output prediction for semantic perception in autonomous vehicles
R Houthooft, C De Boom, S Verstichel, F Ongenae, F De Turck
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
22016
Optimizing Robustness in Geometric Routing via Embedding Redundancy and Regeneration
R Houthooft, S Sahhaf, W Tavernier, F De Turck, D Colle, M Pickavet
Networks 66 (4), 320-334, 2015
22015
Appendix of InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
X Chen, Y Duan, R Houthooft, J Schulman, I Sutskever, P Abbeel
Evolved Policy Gradients: Supplementary Materials
R Houthooft, RY Chen, P Isola, BC Stadie, F Wolski, J Ho, P Abbeel
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Articles 1–19