| 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 | 6666* | 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 | 2059 | 2016 |
| 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 | 949 | 2016 |
| 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 | 740 | 2018 |
| #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 | 698 | 2017 |
| 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 | 282 | 2018 |
| 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 | 235 | 2017 |
| 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 | 168* | 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 | 106 | 2015 |
| Generative Models A Karpathy, P Abbeel, G Brockman, P Chen, V Cheung, R Duan, ... OpenAI Blog, 2016 | 50 | 2016 |
| 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 | 16 | 2015 |
| 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 | 12 | 2014 |
| 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 | 10 | 2014 |
| Controller for a Working Vehicle B Debilde, CA Foster, R Houthooft, S Verstichel US Patent App. 15/199,090, 2016 | 7 | 2016 |
| Integrated inference and learning of neural factors in structural support vector machines R Houthooft, F De Turck Pattern Recognition 59, 292-301, 2016 | 5 | 2016 |
| 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 | 2 | 2016 |
| 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 | 2 | 2015 |
| 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 | | |
Pieter AbbeelUC Berkeley | CovariantPatvirtintas el. paštas cs.berkeley.edu
