Dynamic Programming and Optimal Control is offered within DMAVT and attracts in excess of 300 students per year from a wide variety of disciplines. It is an integral part of the Robotics, System and ...

Understand the various algorithms for solving a dynamic program Topics Introduction to dynamic programming Value and policy iterations Stochastic gradient algorithm Q-learning and temporal differences ...

Dynamic programming Limitations of model-based control Introduction to Reinforcement Learning The basic Q-Learning algorithm Exploration-exploitation trade-off, short-term long-term reward ...

This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal ...