Introduction to Reinforcement Learning

This course provides a solid foundation in reinforcement learning, covering the theory behind the algorithms and practical implementations. Topics include Q-learning, policy gradients, and exploration vs. exploitation strategies in AI systems.

This course provides a solid foundation in reinforcement learning, covering the theory behind the algorithms and practical implementations. Topics include Q-learning, policy gradients, and exploration vs. exploitation strategies in AI systems.