Reinforcement Learning on Monopolistic Intermediary Games: Subject Experiments and Simulation
Decision making processes of consumers and firms have emerged as a prominent field in multi-agent systems. This approach relaxes the strict assumptions in traditional economic theory. However, little attention has been paid to the validation of the simulation itself, because of the difficulty of acquiring field data which is compared with simulated markets.
KeywordsReinforcement Learn Demand Function Learn Agent Market Treatment Reinforcement Learn Model
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