Deep Reinforcement Learning and Control

Deep Reinforcement Learning and ControlHours: 3 0 3

Introduction to autonomous systems, self and reinforcement learning, core challenges and approaches to meet challenges, generalization and exploration, algorithms for control policies guided by reinforcement, demonstrations, and intrinsic curiosity, evaluating complexity, generalization, and generality of algorithms, examples of autonomous tasks, e.g., robotics, game playing, consumer modeling, healthcare, etc.

Pre-requisites: AI202Co-requisites: AI

Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course