Design of a security mechanism for RESTful Web Service communication through mobile clients. - Femke De Backere; Brecht Hanssens; Ruben Heynssens; Rein Houthooft; Alexander Zuliani; Stijn Verstichel; Bart Dhoedt; Filip De Turck (NOMS, 2014)

Robust geometric forest routing with tunable load balancing. - Rein Houthooft; Sahel Sahhaf; Wouter Tavernier; Filip De Turck; Didier Colle; Mario Pickavet (INFOCOM, 2015)

Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores. - Rein Houthooft; Joeri Ruyssinck; Joachim van der Herten; Sean Stijven; Ivo Couckuyt; Bram Gadeyne; Femke Ongenae; Kirsten Colpaert; Johan Decruyenaere; Tom Dhaene; Filip De Turck (Artif. Intell. Medicine, 2015)

Optimizing robustness in geometric routing via embedding redundancy and regeneration. - Rein Houthooft; Sahel Sahhaf; Wouter Tavernier; Filip De Turck; Didier Colle; Mario Pickavet (Networks, 2015)

Structured Output Prediction for Semantic Perception in Autonomous Vehicles. - Rein Houthooft; Cedric De Boom; Stijn Verstichel; Femke Ongenae; Filip De Turck (AAAI, 2016)

Benchmarking Deep Reinforcement Learning for Continuous Control. - Yan Duan; Xi Chen 022; Rein Houthooft; John Schulman; Pieter Abbeel (ICML, 2016)

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. - Xi Chen 022; Yan Duan; Rein Houthooft; John Schulman; Ilya Sutskever; Pieter Abbeel (NIPS, 2016)

VIME: Variational Information Maximizing Exploration. - Rein Houthooft; Xi Chen 022; Yan Duan; John Schulman; Filip De Turck; Pieter Abbeel (NIPS, 2016)

Random Survival Forests for Predicting the Bed Occupancy in the Intensive Care Unit. - Joeri Ruyssinck; Joachim van der Herten; Rein Houthooft; Femke Ongenae; Ivo Couckuyt; Bram Gadeyne; Kirsten Colpaert; Johan Decruyenaere; Filip De Turck; Tom Dhaene (Comput. Math. Methods Medicine, 2016)

Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks. - Rein Houthooft; Xi Chen 022; Yan Duan; John Schulman; Filip De Turck; Pieter Abbeel (CoRR, 2016)

Integrated inference and learning of neural factors in structural support vector machines. - Rein Houthooft; Filip De Turck (Pattern Recognit., 2016)

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning. - Haoran Tang; Rein Houthooft; Davis Foote; Adam Stooke; Xi Chen 022; Yan Duan; John Schulman; Filip De Turck; Pieter Abbeel (NIPS, 2017)

Parameter Space Noise for Exploration. - Matthias Plappert; Rein Houthooft; Prafulla Dhariwal; Szymon Sidor; Richard Y. Chen; Xi Chen 022; Tamim Asfour; Pieter Abbeel; Marcin Andrychowicz (ICLR (Poster), 2018)

Evolved Policy Gradients. - Rein Houthooft; Yuhua Chen; Phillip Isola; Bradly C. Stadie; Filip Wolski; Jonathan Ho; Pieter Abbeel (NeurIPS, 2018)

The Importance of Sampling inMeta-Reinforcement Learning. - Bradly C. Stadie; Ge Yang 003; Rein Houthooft; Xi Chen 022; Yan Duan; Yuhuai Wu; Pieter Abbeel; Ilya Sutskever (NeurIPS, 2018)

Evolved Policy Gradients. - Rein Houthooft; Richard Y. Chen; Phillip Isola; Bradly C. Stadie; Filip Wolski; Jonathan Ho; Pieter Abbeel (CoRR, 2018)

Some Considerations on Learning to Explore via Meta-Reinforcement Learning. - Bradly C. Stadie; Ge Yang 003; Rein Houthooft; Xi Chen 022; Yan Duan; Yuhuai Wu; Pieter Abbeel; Ilya Sutskever (CoRR, 2018)