Operational risk management and new computational needs in banks

The main interest of this model lies in exploring the scenarios in an adaptive learning framework (MDP, partially observed MDP, Q-learning, neuro-dynamic programming, greedy algorithm) and the benefits of such a computational approach is a consistent strategy to managing budgets, as opposed to policies of operational risk management made up from disconnected expenditures.