beginner~6h

Reinforcement Learning Foundations

Learn agents, states, actions, policy optimization, and reward signals used to align models in RLHF and GRPO.

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▶📚 Prerequisites(2)

🎓 Learning objectives

RL Fundamentals: Agent, Environment, State, Action, Reward, Policy, Value

Key Algorithms: Q-Learning, Policy Gradient, and PPO (Intuition Only)

RL for Language Models: How RLHF Uses RL, and the Connection to GRPO

Practical RL Today: Where It's Actually Used in AI Engineering

deep-learningprobability-basics

llm-training →grpo-reasoning →