Week 1
	Course Overview/Agent Types
		Planning agents
		BDI Agents
		(PO)MDP Agents
		Subsumption Architectures

	The UNSW RoboCup agent

		System Overview

Week 2

		The Hardware - AIBO
		The OS - OPEN-R

Week 3

		Vision
			Low Level Colour
			High Level Sanities
			Distance to objects
			Close-in ball localization

Week 4

		Localization
			Bayesian Localization
				Tables
				Particle Filters
				Kahlman-Bucy filters

Week 5

		Motion
			Head Control
			Walking
			Quaternions

Week 6

		Behaviours
			Hysteresis
			Ball Tracking
			Reactive Behaviour Hierarchies

Week 7

	Other Agent Types

		Introduction to Representation and Search
		  BFS/DFS
			Discretization
			First Order
			Continuous - RRTs
			Plan space/policy search

		A* Search
			Mixing Search and Heuristics (Korf)

Week 8

		Planning agents
			STRIPS style planning
			Partial Order planning

Week 9 (could be dropped if lacking time)

			Heirarchical Task Net planning
			RAPs
			SATPlan
			Heuristic Planning

		Logic Based Planning
			GoLog

Week 10 (could be dropped if lacking time)

		BDI Agents

		Cognitive Architectures
			SOAR
			Act-R

Week 11

		(PO)MDP agents
			Markov Decision Processes
			Partially Observable Markov Decision Processes

Week 12

			Reinforcemnt Learning
				Function approximation
				Hierarchical RL
				Policy Gradient Methods


Other Possible Topics
		Other Search
			Function Minimization
				(Chapter 10 NR in C)
			Genetic Search
			Simulated Annealing

		Adversarial Agents
			Minimax search
			Stochastic policies
			Best response learning

		Multi-Agent Issues
			Distributed Data Fusion