XP36APL – Automated Planning (PhD course)

• Lukáš Chrpa
• Stefan Edelkamp

Lectures will take place each Monday at 9:15 - 10:45 at KN-E301. Lectures will be shared with the Masters module (BE4M36PUI – Planning for Artificial Intelligence). The materials can be found here.

The exam will be conducted orally (the expected length of examination is 30 minutes).

• Classical planning
  • Planning Representation - PDDL, SAS (FDR), STRIPS
  • Search algorithms
  • Properties of heuristics
  • Abstractions
  • Relaxations
  • Landmarks and LM-cut
  • LP heuristics
• Planning with uncertainty
  • Formalisms (MDP)
  • Simple temporal networks
  • MDP algorithms
  • Monte Carlo Tree Search