Bilkent University
Department of Computer Engineering

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CS 590/690 SEMINAR

 

Modular Reinforcement Learning of Teamed Adversarial Agents in Turn Based Tactics Games

 

Kaan Ünlü
Ph.D. Student
(Supervisor: Asst.Prof.Özgür Salih Öğüz)
Computer Engineering Department
Bilkent University

Abstract: Turn Based Tactics Games are a subgenre of strategy games revolving usually around multi-map, multi-goal and multi-unit based, goal oriented frameworks; in many ways multidimensional expansions of chess, complexity-wise. As one of the earliest and most famous pioneers of Reinforcement Learning, AlphaZero has paved the way for Game RL in academia with chess, but many quirks of RL, especially its inflexibility in dynamically working in different maps is yet unsolved. As such, first we will present previous literature and our work with Deep Reinforcement Learning in our custom environment. After that, we will discuss the limitations in agent collaboration portrayed by our work, and look into further methodology through literature in state abstraction and curriculum learning as potential solutions.

 

DATE: April 01, Monday @ 13:50 Place: EA 502