Measuring the Impact of Memory Replay in Training Pacman Agents using Reinforcement Learning

2021 XLVII Latin American Computing Conference (CLEI)(2021)

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摘要
Reinforcement Learning has been widely applied to play classic games where the agents learn the rules by playing the game by themselves. Recent works in general Reinforcement Learning use many improvements such as memory replay to boost the results and training time but we have not found research that focuses on the impact of memory replay in agents that play simple classic video games. In this re...
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关键词
Training,Backpropagation,Analytical models,Tensors,Q-learning,Image coding,Computational modeling
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