Reinforcement Learning: Training AI Agents Through Rewards and Penalties

Reinforcement learning (RL) is a fascinating field of AI focused on training agents to make decisions by interacting with an environment and learning from rewards and penalties. RL differs from supervised learning because it involves doing rather than learning from a static dataset. Let’s delve into the core principles of RL and explore its applications […]

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