Concept
Computer chess
Related lectures (31)
Theorems in Analysis
Covers the Meyers-Serrin theorem in analysis, discussing the conditions for functions in different spaces.
Recurrence and Transience: Markov Chains
Explores recurrence and transience in Markov chains, discussing the strong Markov property and state classifications.
GPUs: Multithreading and Architecture
Explores GPUs' architecture, multithreading, and their role in machine learning, discussing limitations and future trends.
Stability of Collisionless Systems
Explores the stability of collisionless systems, covering entropy, weak perturbations, Jeans instability, and Landau damping.
Numerical Modeling of Solids and Structures
Covers the basics of numerical modeling of solids and structures.
Introduction to Reinforcement Learning: Key Concepts and Applications
Introduces reinforcement learning, covering its definitions, applications, and theoretical foundations, while outlining the course structure and objectives.