Bandits

Easy Guide to Multi-Armed Bandits: A Key Concept Before Reinforcement Learning

make smart decisions when it starts out knowing nothing and may only learn through trial and error? This is strictly what one in all the best but most vital models in reinforcement learning is...

Dynamic Pricing with Contextual Bandits: Learning by Doing

Adding context to your dynamic pricing problem can increase opportunities in addition to challengesIn my previous article, I conducted a radical evaluation of the most well-liked strategies for tackling the dynamic pricing problem using...

Multi-Armed Bandits Applied to Order Allocation amongst Execution Algorithms

Finding the suitable balance between exploitation and explorationAllocating orders? Embrace uncertainty!The dummy example simulation results strongly indicate that relying solely on a greedy approach may not yield optimal outcomes. It's, due to this fact,...

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