Reinforcement Learning

Catalog description

Reinforcement learning (RL) is a type of machine learning where agents learn to make decisions based on their actions and observing the resulting rewards and penalties. This advanced course explores algorithms and methods for decision-making and optimization, the exploration-exploitation tradeoff, multi-agent systems, and application of deep learning to RL. Application of RL to real-world problems such as game playing, robotics, and recommendation systems in various industries.