Dynamic Pricing with Multi-Armed Bandit: Learning by Doing

Applying Reinforcement Learning strategies to real-world use cases, especially in dynamic pricing, can reveal many surprisesThat is the implementation of the simulation loop:The inputs to this function are:prices: An inventory of candidate prices we...

Batched Bandit Problems

Multi-Armed Bandits with delayed rewards in successive trialsThis trend nonetheless doesn't generalize to grids with smaller batch numbers. For the case where M=2 the variety of samples in the primary batch of the geometric...

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