Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand. (arXiv:2201.00486v1 [cs.LG])

Many past attempts at modeling repeated Cournot games assume that demand is
stationary. This does not align with real-world scenarios in which market
demands can evolve over a product's lifetime for a myriad of reasons. In this
paper, we model repeated Cournot games with non-stationary demand such that
firms/agents face separate instances of non-stationary multi-armed bandit
problem. The set of arms/actions that an agent can choose from represents
discrete production quantities; here, the action space is ordered. Agents are
independent …

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