Course overview

So Far

  • Agent Systems
    • RoboCup
    • Other robot architectures
      • Three Layer Architectures (planner/Symbolic reactive/non-symbolic reactive)
      • Subsumption
    • Cognitive Architectures
      • ACT-R
    • Search
      • Graph search
      • BFS/DFS/BFS/A*/Approx A*/Iterative Deepening
      • Logic spaces
      • State space planning
      • Plan space/Partial Order planning
    • Things for search:
      • Representation
      • Model of World
      • Heuristic
      • Current State

Yet to see

  • Some representations for discrete search
  • Building Models
  • Building Heuristics
    • Relationship to hierarchy
  • Incremental/cached/dynamic programming search
  • Stochastic worlds
  • Search through continuous spaces
  • Incomplete state/partial observability
  • More on Hierarchy
  • Adversarial Agents

Today

  • Building Models
    • Try actions in different locations
    • Learn to predict the results of actions
    • Machine Learning problem
    • Need to sample entire space to get model over entire space