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Reinforcement Learning in Game Design by Kelechi is a document available to read on EtoBox.

What is Reinforcement Learning in Game Design about?

Reinforcement learning is a machine learning technique where an agent learns to achieve goals in complex environments through trial and error, using rewards and punishments. The agent learns to maximize rewards by deciding on a sequence of actions given its current state. It does not require manually labeling data like supervised learning. Instead, the agent learns from interactions with its environment and experiences of reward or penalty. Reinforcement learning has been applied to game design by training

Author

Kelechi

Language

EN