Presentation
Lirong Xia Reinforcement Learning (1) Tue, March 18, 2014.
MultiAgent Systems Dr Oscar Lin. Traditional AI Much traditional AI has been concerned with how an agent can be constructed to function intelligently,
NIMS Resource Management IS-703.A – August 2010 Visual 5.1 Resource Management During Incidents Unit 5:
Adaptive High-Level Strategy Learning in StarCraft
I NTELLIGENT A GENTS 1. D EFINITION OF A GENT Anything that: Perceives its environment Acts upon its environment A.k.a. controller, robot 2.
ECON 100 Tutorial: Week 9 [email protected] office: LUMS C85.
Partially Observable Markov Decision Process (POMDP) Douglas Aberdeen, National ICT Australia 2003 by Ye Fang Department of Computer Science Rice University.
EKONOMSKA ANALIZA PRAVA. Game Theory Outline of the lecture: I. What is game theory? II. Elements of a game III. Normal (matrix) and Extensive (tree)
Modeling the Process of Collaboration and Negotiation with Incomplete Information Katia Sycara, Praveen Paruchuri, Nilanjan Chakraborty Collaborators:
CS 416 Artificial Intelligence Lecture 23 Making Complex Decisions Chapter 17 Lecture 23 Making Complex Decisions Chapter 17.
Using Reinforcement Learning to Build a Better Model of Dialogue State Joel Tetreault & Diane Litman University of Pittsburgh LRDC April 7, 2006.
