Abstract: Sequential decision-making (SDM) is crucial for adapting machine learning to dynamic real-world scenarios such as fluctuating markets or evolving…

Abstract: One of the most natural approaches to reinforcement learning (RL) with function approximation is value iteration, which inductively generates...