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Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information.
Kyrill Schmid
Lenz Belzner
Thomy Phan
Thomas Gabor
Claudia Linnhoff-Popien
Published in:
ICAART (1) (2020)
Keyphrases
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multi agent reinforcement learning
multi agent
multi agent systems
multi agent learning
game theory
learning agents
incomplete information
reinforcement learning
decision making
utility function
knowledge acquisition
distributed control
neural network
machine learning
stochastic games