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QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting.
Jie Zhang
Kefan Li
Baoming Zhang
Ming Xu
Chongjun Wang
Published in:
ISPA/BDCloud/SocialCom/SustainCom (2021)
Keyphrases
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multi agent
imperfect information
reinforcement learning
cooperative
game theoretic
model free
game theory
multi agent systems
perfect information
stochastic games
imperfect information games
game playing
single agent
card game
multiagent systems
game tree search
alternating time temporal logic
game tree
multiple agents
state space
e learning
finite automata
reinforcement learning algorithms
decision making
decision problems
hidden markov models