Are you curious about how AI learns and evolves? Deep Reinforcement Learning is a fascinating branch of Machine Learning where agents, like Albert and Kai, are trained through a reward-and-punishment system. In this process, neural networks drive their decisions, continuously improving their actions over time.
In a recent project, two AI warehouse agents—Albert and Kai—were trained to play Dodgeball against each other. Every move they made was guided by Neural Networks updated with each attempt, showcasing the incredible adaptability and power of AI.
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