SUMMARY.md

Summary

• README
• 1. Introduction
• 2. Search Algorithms
• 3. Planning Models, Languages and Computational Approaches
• 4. Generating Heuristic Functions
• 5. Markov Decision Process
• 6. Online MDP Planning (MCTS)
• 7. Reinforcement Learning
• 8. AlphaGo
• 9. Non-deterministic planning
• 10. Planning Recognition
• 11. Epistemic Planning
• 12. Game Theory
• PDDL
• Workshops
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6 & 7
  • MDPs & RL
  • Game Theory
• Exams
  • Revision Exercises 2016

• Resources