Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games.

Yunqiu Xu Meng Fang Ling Chen Yali Du Joey Tianyi Zhou Chengqi Zhang

Published in: NeurIPS (2020)

Keyphrases

reinforcement learning
learning agents
action sets
function approximation
hierarchical model
markov decision processes
temporal difference learning
game theory
game play

machine learning
autonomous mental development
hierarchical reinforcement learning
reinforcement learning algorithms
game playing
coarse to fine
learning algorithm
multimedia
state space

video games
neural network
game design
game theoretic
textual features
multi agent
function approximators
cooperative games
reinforcement learning agents

policy search
search algorithm
imperfect information
supervised learning
unsupervised learning
computer games
serious games
nash equilibrium
incomplete information