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COMP90054 Contest Project: intelligence-artificial

YouTube Presentation

Video Report

Contents:

1. Home and Introduction

2. AI Approaches Overview

   2.1 Approach A - PDDL / Classical Planning

   2.2 Approach B - Value Iteration

   2.3 Approach C - Approximate Q-Learning

   2.4 Approach D - A* Heuristic Search

   2.5 Approach E - Behaviour Trees

3. Evolution and Experiments

   3.1 Agent 1 (Value Iteration + A* Heuristic Search)

   3.2 Agent 2 (Approximate Q-Learning)

   3.3 Agent 3 (A* Heuristic Search + Behaviour Trees)

4. Reflections and Conclusions

Team Information

Course: COMP90054 - AI Planning for Autonomy

Semester: Semester 2, 2020

Instructor: Adrian Pearce

Team name: intelligence-artificial

Team members:

• 1060062 - Elliot Hill - [email protected] - elliothill1407
• 1110497 - Parikshit Diwan - [email protected] - parikshitd19
• 1133751 - Matthias Bachfischer - [email protected] - Bachfischer