This paper aims to discuss the importance and the necessity of reasoning applications in the
field of Aerospace Integrated Vehicle Health Management (IVHM). A fully functional IVHM …

We study the reinforcement learning problem of complex action control in the Multi-player
Online Battle Arena (MOBA) 1v1 games. This problem involves far more complicated state …

This paper introduces SC2LE (StarCraft II Learning Environment), a reinforcement learning
environment based on the StarCraft II game. This domain poses a new grand challenge for …

Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

MOBA games, eg, Honor of Kings, League of Legends, and Dota 2, pose grand challenges
to AI systems such as multi-agent, enormous state-action space, complex action control, etc …

Machine learning (ML) and deep learning (DL) are a subset of artificial intelligence (AI) that
can automatically learn from data and can perform tasks such as predictions and decision …

Real-time strategy games have been an important field of game artificial intelligence in
recent years. This paper presents a reinforcement learning and curriculum transfer learning …

Although a Finite State Machine (FSM) is easy to implement the behaviors of None-Player
Characters (NPC) in computer games, it is difficult to maintain and control the behaviors with …

Robotic Learning from Demonstration (LfD) allows anyone, not just experts, to program a
robot for an arbitrary task. Many LfD methods focus on low level primitive actions such as …

We present JueWu-SL, the first supervised-learning-based artificial intelligence (AI) program
that achieves human-level performance in playing multiplayer online battle arena (MOBA) …