Dynamic Transaction Scheduling and Pricing in the Ethereum Mempool
The study models Ethereum transaction scheduling as a dynamic problem where transactions arrive stochastically. It introduces a dynamic pricing mechanism based on a discounted Markov Decision Process (MDP) to extend static EIP-1559. This approach shows that setting block prices dynamically stabilizes the transaction pool and maximizes long-term rewards.