Deep Active Imitation Learning in FIFA FreeKicks Player Platforms Based on Raw Image and Object Detection State Representations This paper investigates the use of the Deep Active Imitation (DAI) learning strategy in single and multiagents player platforms for FIFA game. DAI is a supervised Deep Learning training strategy in which previously trained agents evolve by mimicking human expertsu0027 behavior through active learning. Such learning strategy has only been validated in singleagent scenarios where the environment is perceived through raw images. FIFA, in spite of being a successful soccer simulation video game representing a very realistic and challenging case study, has been relatively poorly explored in the context of Machine Learning research. Then, the main objective of the present work is to investigate the efficacy of DAI to cope with single and multiagents FIFA platforms in which the environment is represented either by Object Detection Techniques (ODT) or by raw images. The agents were evaluated in terms of the rate of goals obtained in the freekicks scenarios provided by FIFA. The results show that DAI performs well on both the single and multiagent based platforms. Further, the raw image based technique proved to be better than the ODT based method to represent the environment.

Effects of Reward Terms in AgentBased BoxManipulation Animation Using Deep Reinforcement Learning Agentbased box manipulation has wide applications in computer animation and robotics. Deep reinforcement learning can be applied to generate animations of agentbased box manipulation. This paper focuses on pushmanipulation in an agentbased animation. A policy is learned in a learning session in which an agent receives a reward that is a combination of different types of reward terms. Based on the received reward, the policy is improved gradually. In this paper, we investigate the effects of each reward term indepth in a framework that is integrated with deep reinforcement learning. We also propose a simple way to produce different animation types. We performed several examples and analyzed our findings in details.