Exploring Non-Markovian Decision Processes for Enhanced Policy Search Algorithms
This research delves into non-Markovian decision processes, proposing a novel policy search algorithm. Through theoretical analysis and experimental validation, we evaluate its efficiency and accuracy against traditional Markov methods, utilizing simulated environments and real datasets for comprehensive insights.
5/8/20241 min read
Algorithm performance analysis