Under the Markov decision process (MDP) congestion game framework, we study problem of enforcing population distribution constraints on a players with stochastic dynamics and coupled costs. Existing research demonstrates that players’ can be satisfied by tolls. However, computing minimum toll value for constraint satisfaction requires accurate modeling player’s Motivated settings where an cost ...

Reinforcement learning has been used to approach well-known NP-hard combinatorial problems in graph theory. Among these, Hamiltonian cycle are exceptionally difficult analyze, even when restricted individual instances of structurally complex graphs. In this paper, we use Monte Carlo Tree Search (MCTS), the search algorithm behind many state-of-the-art reinforcement algorithms such as AlphaZero,...

Inventory of raw materials is a big deal in every production process, both company and home business production. In order to meet consumer demand, must be able determine the amount inventory that should provided. The purpose this research choose an alternative selection ordering produce maximum with minimum costs. material referred study pandan leaves used make mats. Analysis was Markov decisio...