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🧪 Reinforcement Learning Simulation

This simulation explores reinforcement learning algorithms where an agent learns optimal actions within a defined environment by receiving rewards for desired behaviors and penalties for undesirable ones. It demonstrates how agents can learn complex strategies through repeated interactions and feedback.

AI & Machine Learning2DModerate60 FPS

⚙ Under the hood

This simulation explores reinforcement learning algorithms where an agent learns optimal actions within a defined environment by receiving rewards for desired behaviors and penalties for undesirable ones. It demonstrates how agents can learn complex strategies through repeated interactions and feedback.

Reinforcement LearningAgentRewards

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install