Lectures, Lab & Seminars

Slides for the seminar will be downloadable from the dedicate page on the course web site.

Lectures

Lecure slides will be published as the course progresses:

• Course introduction [pdf]
• Planning [pdf] 
• Graph-based planning [pdf]
• Swarm Intelligence [pdf]
• Planning for robots [pdf]
• Machine Learning [pdf]
• Inductive Logic Programming [pdf]
• Bayesian Learning [pdf]
• Neural Networks [pdf]
• Deep Learning [pdf]
• Programmazione a vincoli [pdf], vincoli reificati, ricerca, scheduling

Lab sessions

Slides and data files will be published as the course progresses

• Automated planning
  • Slides [pdf]
  • Cart example (graphplan) [zip]
  • Cart example (PDDL) [zip]
  • An intrdoduction to PDDL [pdf]
  • Quick PDDL reference guide [html]
  • Planner executables (for linux, oldish compiler...) [zip]
    • Install gcc-multilib and g++-multilib in Ubuntu to make them work
• Multi-agent simulation with NetLogo
  • Slides and files [zip]
• Decision Trees
  • Slides [pdf]
  • C4.5 Test [zip]
  • Weka Test [zip]
  • Language recognition problem [zip]
  • Shape recognition problem [zip]
  • Python cheat-sheet (basic concepts) [pdf]
  • Python cheat-sheet (methods and functions) [pdf]
• Neural Networks
  • Slides [pdf]
  • Tic-tac-toe dataset [zip]
  • Is it the sea? Code [zip]
  • Is it the sea? Data 16x16 (8 MB) [zip]
  • Is it the sea? Data 25x25 (18 MB) [zip]
  • Is it the sea? Data 32x32 (28 MB) [zip]
  • Is it the sea? Data 50x50 (63 MB) [zip]

Seminars

• Selected Topics in Deep Learning (Marco Lippi) [pdf]