YU, Jiadong - HKUST Class Schedule & Quota

Class Schedule & Quota
2026-27 Fall 2025-26 Summer 2025-26 Spring 2025-26 Winter
2026-27 Fall
Common Core Course
The class information on this page will normally be updated every 15 to 20 minutes during class enrollment period.
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This service was first adapted from a student contribution in 2011-12 Fall. The efforts of all concerned are duly acknowledged.

AIAA AMAT BSBE CMAA CNCC CNGF DLED DSAA EOAS FTEC FUNH INFH INTR IOTA IPEN LANG MICS MOES MSSM PDEV PLED ROAS SEEN SMMG SOCH SYSH UCMP UCUG UFUG UGOD

COURSE INFO

DESCRIPTION	This course offers a comprehensive introduction to Reinforcement Learning (RL), building a foundation from core concepts like Markov Decision Processes (MDPs) and dynamic programming to advanced algorithms such as policy gradients and actor-critic methods (PPO, DDPG). It progresses to modern topics including Multi-Agent Reinforcement Learning (MARL), making it ideal for students across engineering and science disciplines looking to apply RL in their research.

DESCRIPTION

This course offers a comprehensive introduction to Reinforcement Learning (RL), building a foundation from core concepts like Markov Decision Processes (MDPs) and dynamic programming to advanced algorithms such as policy gradients and actor-critic methods (PPO, DDPG). It progresses to modern topics including Multi-Agent Reinforcement Learning (MARL), making it ideal for students across engineering and science disciplines looking to apply RL in their research.

IOTA 5201 - Reinforcement Learning for Intelligent Decision Making (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6385)	Tu 01:30PM - 04:20PM	Rm 102, W1	YU, Jiadong	40	39	1	0

[Matching between Lecture & Tutorial required]

COURSE INFO

PRE-REQUISITE	UFUG 1102 OR UFUG 1105
DESCRIPTION	This course covers the basic concepts of Statistics and Probability Theory, gives a systematic introduction to Statistical Inference, Test Statistic, Regression, and Bayesian Statistics, and deepens the understanding of these theories and techniques through practical applications.

UFUG 2104 - Applied Statistics (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L02 (6839)	MoWe 10:30AM - 11:50AM	Rm 202, E3	YU, Jiadong	40	40	0	0
T02 (6844)	Tu 12:00PM - 12:50PM	Rm 150, E1	YU, Jiadong	40	40	0	0