TY  - GEN 
AU  - Pegalajar Cuéllar, Manuel
AU  - Pegalajar Palomino, María del Carmen
AU  - Baca Ruiz, Luis Gonzaga
AU  - Navarro Garulo, Gabriel
AU  - Cano Gutiérrez, Carlos
AU  - Servadei, Lorenzo
PY  - 2023
UR  - https://hdl.handle.net/10481/98141
AB  - In this work, we propose a methodology to implement classic Markov Decision Processes in a Quantum Computing paradigm, as a first step to achieve systems running Quantum Reinforcement Learning where both agent and environment are expressed as quantum...
LA  - eng
PB  - University of Naples Federico II
KW  - quantum reinforcement learning
KW  - quantum machine learning
TI  - Implementation of Markov Decision Processes into quantum algorithms for reinforcement learning
ER  -