Course

CS-430: Intelligent agents

Summary

Software agents are widely used to control physical, economic and financial processes. The course presents practical methods for implementing software agents and multi-agent systems, supported by programming exercises, and the theoretical underpinnings including computational game theory.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/intelligent-agents-CS-430

Moodle Page

http://go.epfl.ch/CS-430

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Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/intelligent-agents-CS-430

Moodle Page

http://go.epfl.ch/CS-430

About this result

Lectures in this course (16)

Intelligent Agents: Making Decisions and Planning

Covers intelligent agents, decision-making, planning, machine learning, and game theory.

Intelligent Agents: Characteristics and Applications

Covers the characteristics, applications, and challenges of intelligent agents in software systems, emphasizing their role in making autonomous decisions and coordinating with other agents.

Reactive Agents: Decision Processes

Explores reactive agents and decision processes, covering topics such as Markov Decision Processes and real-time agents.

Learning Agents: Exploration-Exploitation Tradeoff

Explores the exploration-exploitation tradeoff in learning unknown effects of actions using multi-armed bandits and Q-learning.

Deliberative Agents: Planning and Strategies

Covers planning with adversaries, heuristic search algorithms, and strategies for games with chance, emphasizing the significance of deliberative agents.

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