Introduction to Reinforcement Learning Theory and Methods - Lecture 1

Learn the fundamentals of reinforcement learning through a comprehensive lecture series delivered by Hugo Touchette from Stellenbosch University, South Africa at ICTS Bengaluru. Explore how agents make decisions in environments while maximizing rewards through eight detailed sessions spanning from November 1-25, 2024. Master the theoretical foundations including Markov decision processes and dynamical programming, along with practical learning methods such as temporal differences. Participate in two hands-on practical sessions to apply theoretical concepts to real-world applications. The series consists of eight lectures scheduled twice weekly, with sessions ranging from 1.5 to 2 hours each, held at the Emmy Noether Seminar Room. Gain deep insights into agent-based decision making and reward optimization strategies through structured learning modules delivered by an expert in the field.