Lectures related to Riemannian gradient descent

Related lectures (32)

Introduces definite integrals, Taylor expansions, partitions, and area calculations under curves.

Covers the linear programming approach to reinforcement learning, focusing on its applications and advantages in solving Markov decision processes.