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Curriculum/Reinforcement Learning

10

Reinforcement Learning

Agents, environments, Q-learning, and policy gradients

4 lessons195 min totaladvanced

RL Foundations

Markov Decision Processes, value functions, and the exploration-exploitation trade-off

2 exercisesQuiz45m

Q-Learning & Deep Q-Networks

From Q-tables to deep neural network approximators

2 exercisesQuiz55m

Policy Gradient Methods

REINFORCE, Actor-Critic, and Proximal Policy Optimization

2 exercisesQuiz50m

RL Applications & Tools

Gymnasium, Stable Baselines3, RLHF, robotics, and game AI

2 exercisesQuiz45m

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