Reinforcement Learning (5cr)

Objective

By the end of the course, students is able to:
Understand and implement reinforcement learning (RL) principles.
Build, train, and evaluate RL models.
Design effective reward functions.
Use tools and simulators for RL model training.
Optimize the performance of RL models.

Content

Theoretical foundations of reinforcement learning
RL approaches
Core RL algorithms
Applications of deep reinforcement learning techniques using frameworks
Hands-on project using RL frameworks or simulation environments