Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206846695 ISBN 13: 9786206846697
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 87,36
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Publicado por LAP LAMBERT Academic Publishing Nov 2023, 2023
ISBN 10: 6206846695 ISBN 13: 9786206846697
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 79,90
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Markov Decision Process (MDP) models are widely used to model decision-making problems in many research fields. MDPs can be readily designed through modeling and simulation(M&S) using the Discrete Event System Specification formalism (DEVS) due to its modular and hierarchical aspects, which improve the explainability of the models. In particular, the separation between the agent and the environment components involved in the traditional reinforcement learning (RL) algorithm, such as Q-Learning, is clearly formalized to enhance observability and envision the integration of AI components in the decision-making process. Our proposed DEVS model also improves the trust of decision makers by mitigating the risk of delegation to machines in decision-making processes. The main focus of this work is to provide the possibility of designing a Markovian system with a modeling and simulation formalism to optimize a decision-making process with greater explainability through simulation. Furthermore, the work involves an investigation based on financial process management, its specification as an MDP-based RL system, and its M&S with DEVS formalism.Books on Demand GmbH, Überseering 33, 22297 Hamburg 168 pp. Englisch.
Publicado por LAP Lambert Academic Publishing, 2023
ISBN 10: 6206846695 ISBN 13: 9786206846697
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 64,09
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Markov Decision Process (MDP) models are widely used to model decision-making problems in many research fields. MDPs can be readily designed through modeling and simulation(M&S) using the Discrete Event System Specification formalism (DEVS) due to its modul.
Publicado por LAP LAMBERT Academic Publishing Nov 2023, 2023
ISBN 10: 6206846695 ISBN 13: 9786206846697
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 79,90
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Markov Decision Process (MDP) models are widely used to model decision-making problems in many research fields. MDPs can be readily designed through modeling and simulation(M&S) using the Discrete Event System Specification formalism (DEVS) due to its modular and hierarchical aspects, which improve the explainability of the models. In particular, the separation between the agent and the environment components involved in the traditional reinforcement learning (RL) algorithm, such as Q-Learning, is clearly formalized to enhance observability and envision the integration of AI components in the decision-making process. Our proposed DEVS model also improves the trust of decision makers by mitigating the risk of delegation to machines in decision-making processes. The main focus of this work is to provide the possibility of designing a Markovian system with a modeling and simulation formalism to optimize a decision-making process with greater explainability through simulation. Furthermore, the work involves an investigation based on financial process management, its specification as an MDP-based RL system, and its M&S with DEVS formalism. 168 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206846695 ISBN 13: 9786206846697
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 80,86
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Markov Decision Process (MDP) models are widely used to model decision-making problems in many research fields. MDPs can be readily designed through modeling and simulation(M&S) using the Discrete Event System Specification formalism (DEVS) due to its modular and hierarchical aspects, which improve the explainability of the models. In particular, the separation between the agent and the environment components involved in the traditional reinforcement learning (RL) algorithm, such as Q-Learning, is clearly formalized to enhance observability and envision the integration of AI components in the decision-making process. Our proposed DEVS model also improves the trust of decision makers by mitigating the risk of delegation to machines in decision-making processes. The main focus of this work is to provide the possibility of designing a Markovian system with a modeling and simulation formalism to optimize a decision-making process with greater explainability through simulation. Furthermore, the work involves an investigation based on financial process management, its specification as an MDP-based RL system, and its M&S with DEVS formalism.
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206846695 ISBN 13: 9786206846697
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 91,16
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206846695 ISBN 13: 9786206846697
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 95,93
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.