these_loic_martin.pdf - HAL Thèses
Exploration strategy plays an important role in reinforcement learning, especially in sparse-reward tasks. In cooperative multi-agent reinforcement learning ...
A Simple Exploration Framework for Efficient Multi-Agent ...The purpose of this study was to gain an understanding of the TD pathway in Scottish female football. Five expert coaches and five international players were ... TOWARD EFFICIENT MULTI-AGENT EXPLORATION WITH ...14 Une robocup est un match de football entre robots ou entre équipes de robots. ... super-agent ou à une somme d'agents. Ce qui rejoint l'idée ... Celebrating Diversity in Shared Multi-Agent Reinforcement LearningTD target is an array of estimated action values by a target value network, which estimates the current state based on the expectation of future states. The DQN ...
Autres Cours:
