Reinforcement Learning (RL) is a branch of machine learning where agents learn to make decisions by interacting with an environment to maximise cumulative rewardsA subfield of ML focusing on teaching agents to make decisions by rewarding desired actions and penalising undesired ones.
Applications: Game AI, robotics, and optimization tasks.
Tracks:
Model-Based Reinforcement Learning
Model-Free Reinforcement Learning
Multi-Agent Reinforcement Learning (MARL)
Hierarchical Reinforcement Learning (HRL)
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