2. Project Members Omar Enayet Ahmed Atta Abdelrahman Al-Ogail AmrSaqr Dr. MostafaAref Dr. Ibrahim Fathy
3. Why This Meeting? Sponsoring us in MIE competition. Get feedback from business wise industry. Get into business: Production of a commercial AI Engine for RTS Games. Embedding the developed AI in a commercial game.
9. Project Challenges - Details Resource management. Recognize current situation. City building. Reconnaissance. Learning AI opponent gets in the same trap repeatedly Know safe map locations and get away from kill zones
10. Project Challenges - Details More strategies less tactics. Construct consistent army (solders, tanks, planes). Think about reinforcements. How to retreat. Setup and detect ambushes.
11. Project Challenges - Details Opponent Modeling : Know how human player attacks and which units he favors Does the player rushes ? Does the player rely on units that require certain resources? Does he frequently build a number of critical structures in a poorly defensive place? Are his attacks balanced? ( rock, paper, scissors example)
24. Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RLRecent Papers We Collected more than 30 papers concerning this field, different in their way of approaching the problem and the techniques used to solve the problem. Examples of them are above ^