Preux, Philippe
- There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
2021/06/08 by Nathan Grinsztajn, Johan Ferret, Grinsztajn, Nathan +6 · 3 citations
Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #Data Stream Mining Techniques
- Breiman meets Bellman: Non-Greedy Decision Trees with MDPs
2023/09/22 by Hector Kohler, Riad Akrour, Kohler, Hector +2 · 2 citations
Computer Science · #Machine Learning and Data Classification #Reinforcement Learning in Robotics
- Visual Reasoning with Multi-hop Feature Modulation
2018/08/03 by Strub, Florian, Seurin, Mathieu, Perez, Ethan +5 · 1 citation
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- MERL: Multi-Head Reinforcement Learning
2019/09/26 by Yannis Flet-Berliac, Flet-Berliac, Yannis, Preux, Philippe · 1 citation
Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
2024/05/23 by Hector Kohler, Kohler, Hector, Quentin Delfosse +6 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
- A Generalized Kernel Approach to Structured Output Learning
2012/05/10 by Hachem Kadri, Mohammad Ghavamzadeh, Kadri, Hachem +2 · 1 citation
Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Adversarially Guided Actor-Critic
2021/02/08 by Yannis Flet-Berliac, Johan Ferret, Flet-Berliac, Yannis +6 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI)
- Cold-start Problems in Recommendation Systems via Contextual-bandit\n Algorithms
2014/05/29 by Nguyễn Thanh Hải, Jérémie Mary, Nguyen, Hai Thanh +3 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Optimization and Search Problems #Recommender Systems and Techniques
- A Generative Model of Software Dependency Graphs to Better Understand Software Evolution
2014/10/29 by Vincenzo Musco, Musco, Vincenzo, Martin Monperrus +3 · 1 voice
Computer Science · #FOS: Computer and information sciences #Software Engineering (cs.SE) #cs.SE
- gym-DSSAT: a crop model turned into a Reinforcement Learning environment
2022/07/07 by Gautron, Romain, Padrón, Emilio J., Preux, Philippe +3 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents
2023/06/19 by Timothée Mathieu, Riccardo Della Vecchia, Mathieu, Timothée +9 · 1 citation
Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Innovation Diffusion and Forecasting #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Multiple Operator-valued Kernel Learning
2012/01/01 by Hachem Kadri, Kadri, Hachem, Alain Rakotomamonjy +4 · 2 citations
Computer Science · Materials Science · Neuroscience · #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications #Neural dynamics and brain function