Game AI Training Based on Reinforcement Learning and Deep Reinforcement Learning
DOI:
https://doi.org/10.53469/ijomsr.2025.08(09).06Keywords:
Game AI training, Intensive learning, Deep reinforcement learningAbstract
Game AI training is a combination of computer and artificial intelligence. It is a main carrier environment in the field of reinforcement learning. At this stage, in the environment of game AI training, we are faced with moral difficulties and technical innovation. It mainly focuses on the feedback analysis of coefficient and delay, the space environment of high- dimensional state action and the characteristics of unstable environment. At present, based on deep reinforcement learning, we need to put forward the basic framework of deep reinforcement learning based on attention mechanism through the progress of reinforcement learning and deep reinforcement learning, so as to solve the problem of cluster intelligence in complex environment.
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