Interactive decision making and learning in human-centered systems

Professors:Subramanian Ramamoorthy
Credits:3
Range:B
Note:

Full description

Period: April-beginning of May 2015

Professor: Subramanian Ramamoorthy 

Credits: 3

Title:Interactive decision making and learning in human-centered systems

Lectures of this course will be given within the Master course Seminars in Artificial Intelligence and Robotics

This course is intended as a specialized course on models and techniques for decision making in autonomous agents, such as intelligent robots, with special emphasis on how they learn to interact with other agents and people. This course will cover both modelling aspects, including decision theory, game theory and graphical model representations of strategic choice and preferences, and corresponding algorithms for learning from data, including online learning and (inverse) reinforcement learning. The first lecture will provide background. Subsequent lectures will be organised in two halves as follows. The first half will involve a presentation of approaches from the literature. The second half will be a discussion of a particular paper or two, which everyone will have read in advance, led by a nominated group of students.

Class calendar 

  1. May 8th, 12:00-13:30 // 14:00-15:30 -- Foundations of decision and game theory
  2. May 15th, 12:00-13:30 // 14:00-15:30 -- Graphical models for strategic interaction
  3. May 17th, 10:15-11:45 // 12:00-13:30 -- Online learning and regret
  4. May 22nd, 12:00-13:30 // 14:00-15:30 -- Preferences, elicitation and inverse reinforcement learning
  5. May 24th, 10:15-11:45 // 12:00-13:30 -- Behavioural and neural models of choice

 

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