AI Engineering for Reinforcement Learning
In this section, publications about software engineering for artificial intelligence where specific reference is made to reinforcement learning are listed.
According to Chat-GPT, reinforcement learning involves an agent that interacts with an environment, receiving feedback through rewards or penalties. The goal is for the agent to learn a strategy (policy) that maximizes the cumulative reward. Examples: Game playing, robotics, autonomous vehicles.
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Publications will be added soon…
Thank you for your understanding.
Publications will be added soon…
Thank you for your understanding.