On Reinforcement Learning for Full-Length Game of StarCraft.

Zhen-Jia Pang Ruo-Ze Liu Zhou-Yu Meng Yi Zhang Yang Yu Tong Lu

Published in: AAAI (2019)

Keyphrases

reinforcement learning
video games
opponent modeling
game play
computer games
game playing
game theory
model free
human players
multi agent
nash equilibrium

game design
function approximation
robotic control
educational games
temporal difference learning
reinforcement learning algorithms
serious games
monte carlo tree search
game development
imperfect information
learning algorithm

fixed length
state space
reinforcement learning agents
optimal policy
transfer learning
real time strategy games
machine learning
board game
reinforcement learning methods
learning problems
neural network

ai systems
function approximators
game based learning
temporal difference
learning process
optimal strategy
maximum number
dynamic programming
supervised learning
markov decision processes