Introduces reinforcement learning, covering its definitions, applications, and theoretical foundations, while outlining the course structure and objectives.
Explores the design of a general-purpose distributed execution system, covering challenges, specialized frameworks, decentralized control logic, and high-performance shuffle.
Delves into the world of decentralized finance derivatives, exploring crypto derivatives types and existing protocols while discussing the need for new derivatives and financial data oracles.
