Garcia-Ortiz, Michael

1. Continual State Representation Learning for Reinforcement Learning using Generative Replay
   2018/10/09 by Hugo Caselles-Dupré, Caselles-Dupré, Hugo, M. Ortíz +3 · 5 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics
2. Symmetry-Based Disentangled Representation Learning requires Interaction with Environments
   2019/03/30 by Caselles-Dupré, Hugo, Garcia-Ortiz, Michael, Filliat, David · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay
   2019/02/25 by Caselles-Dupré, Hugo, Garcia-Ortiz, Michael, Filliat, David · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Generative Models from the perspective of Continual Learning
   2018/12/21 by Lesort, Timothée, Caselles-Dupré, Hugo, Garcia-Ortiz, Michael +2 · 1 citation
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)