Technical

Reinforcement Learning(RL)

Definition

A type of machine learning where an agent learns to make decisions by receiving rewards or penalties for its actions.

In-Depth Explanation

RL agents learn through trial and error, maximizing cumulative reward over time. Key concepts include states, actions, rewards, and policies. RLHF (RL from Human Feedback) is used to align LLMs with human preferences, making models like ChatGPT more helpful and safe.

Real-World Example

AlphaGo used reinforcement learning to master the game of Go, defeating world champions.

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Reinforcement Learning(RL)

Definition

In-Depth Explanation

Real-World Example

Related Terms

Machine Learning(ML)

Reinforcement Learning from Human Feedback(RLHF)