RIKOS, APOSTOLOS - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Summer 2025-26 Spring 2025-26 Winter 2025-26 Fall
2025-26 Summer
Common Core Course
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COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	Learning to make good decisions is one of the keys to autonomous systems. This course will focus on Reinforcement Learning (RL), a currently very active subfield of artificial intelligence, and it will discuss selectively a number of algorithmic topics including Markov Decision Process, Q-Learning, function approximation, exploration and exploitation, policy search, imitation learning, model-based RL and optimal control. This course provides both the foundations and techniques for developing RL and deep RL algorithms that interact with physical environments, and real application cases of RL will be introduced. Basic knowledge of machine learning and mathematical optimization are expected for this course.

VECTOR

[3-0-0:3]

DESCRIPTION

Learning to make good decisions is one of the keys to autonomous systems. This course will focus on Reinforcement Learning (RL), a currently very active subfield of artificial intelligence, and it will discuss selectively a number of algorithmic topics including Markov Decision Process, Q-Learning, function approximation, exploration and exploitation, policy search, imitation learning, model-based RL and optimal control. This course provides both the foundations and techniques for developing RL and deep RL algorithms that interact with physical environments, and real application cases of RL will be introduced. Basic knowledge of machine learning and mathematical optimization are expected for this course.

AIAA 5034 - Reinforcement Learning and Optimization (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6066)	15-JUN-2026 - 28-JUL-2026 TuTh 06:00PM - 08:50PM	Rm 201, E1	RIKOS, APOSTOLOS	40	0	40	0	> Add/Drop Deadline: 18 June 2026 > Extended Drop Deadline: 25 June 2026