- Covers Markov Decision Processes (MDPs) and Bellman equations.
- Teaches Q-learning for decision-making scenarios.
- Hands-on exercises in game-like environments.
- Prepares learners for applying RL in robotics, AI research, and autonomous systems.
- Builds foundational knowledge for advanced RL studies.
