Unsupervised Learning of Depth and Ego-Motion From Video
Abstract. The popular Q-learning algorithm is known to overestimate action values under certain conditions. It was not previously.
Deep Spatial Autoencoders for Visuomotor LearningWe present the first deep learning model to successfully learn control policies di- rectly from high-dimensional sensory input using reinforcement learning. Action Recognition with Trajectory-Pooled Deep-Convolutional ...Le but du module est d'amener les élèves vers une meilleure connaissance de soi pour définir un projet profession- nel, élaborer une stratégie de recherche ... Deep Reinforcement Learning with Double Q-LearningTypically, deep RL systems use a deep neural network to compute a non-linear mapping from perceptual inputs to action values (e.g., Mnih et al., 2015) or action ...
Autres Cours:
