| Active exploration and parameterized reinforcement learning applied to a simulated human-robot interaction task M Khamassi, G Velentzas, T Tsitsimis, C Tzafestas 2017 First IEEE International Conference on Robotic Computing (IRC), 28-35, 2017 | 34 | 2017 |
| Robot fast adaptation to changes in human engagement during simulated dynamic social interaction with active exploration in parameterized reinforcement learning M Khamassi, G Velentzas, T Tsitsimis, C Tzafestas IEEE Transactions on Cognitive and Developmental Systems 10 (4), 881-893, 2018 | 29 | 2018 |
| A framework for robot learning during child-robot interaction with human engagement as reward signal M Khamassi, G Chalvatzaki, T Tsitsimis, G Velentzas, C Tzafestas 2018 27th IEEE International Symposium on Robot and Human Interactive …, 2018 | 9 | 2018 |
| Adaptive reinforcement learning with active state-specific exploration for engagement maximization during simulated child-robot interaction G Velentzas, T Tsitsimis, I Rañó, C Tzafestas, M Khamassi Paladyn, Journal of Behavioral Robotics 9 (1), 235-253, 2018 | 6 | 2018 |
| Bio-inspired meta-learning for active exploration during non-stationary multi-armed bandit tasks G Velentzas, C Tzafestas, M Khamassi 2017 Intelligent Systems Conference (IntelliSys), 661-669, 2017 | 6 | 2017 |
| Online adaptation to human engagement perturbations in simulated human-robot interaction using hybrid reinforcement learning T Tsitsimis, G Velentzas, M Khamassi, C Tzafestas | 1 | 2017 |
| Bridging Computational Neuroscience and Machine Learning on Non-Stationary Multi-Armed Bandits G Velentzas, C Tzafestas, M Khamassi bioRxiv, 117598, 2017 | 1 | 2017 |
Mehdi KhamassiCNRS research director, Sorbonne UniversitéVerified email at isir.upmc.fr
