Improving the Action Branching Architecture for Multi-dimensional ...
For temporal difference (TD) estimates, smaller ? reduces the amount of information that has to flow back. Align-RUDDER dramatically reduces the amount of ...
Reinforcement Learning in Persistent Environments: Representation ...The algorithm that played the game, named TD-Gammon [2], involved a fully-connected multilayer perceptron architecture for its neural network ... Pessimistic Ensembles for Offline Deep Reinforcement LearningAbstract: In this paper we propose the use of vision grids as state representation to learn to play the game Tron using neural networks and reinforcement ... Incrementally Expanding Environment in Deep Reinforcement ...This thesis is the result of a research work I have carried out between 2015 and 2018 at the Laboratory of Mechanic of Contacts and Structures (LaMCoS), ...
Autres Cours:
