The Reinforcement Learning Workshop: Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems
The Reinforcement Learning Workshop: Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems
Petre, Alexandra Galina: - Dr. Alexandra Galina Petre is a machine learning and data science expert, currently leading and teaching various engineering modules in Coventry, United Kingdom. Her leadership and management experience is linked to her work in quality management for the Airbus A380 and her IET membership. She received her Ph.D. in user feedback-based reinforcement learning for vehicle comfort control with a focus on revolutionary heating ventilation and air conditioning SARSA-based control systems that can learn from the driver's preferential changes to the UI. Her research is focusing on how thermal comfort depends on the occupant's inclination to manual control as outlined in the SAE paper published in 2019, and the development of a novel Java-based user model (UBL) integrated within a car cabin environment. She is working on deep RL implementations in Python and R-based statistical developments within various automation and control projects.
PRP: 345.46 Lei
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310.91Lei
310.91Lei
345.46 LeiPrimești 310 puncte
Livrare in 2-4 saptamani
Descrierea produsului
Petre, Alexandra Galina: - Dr. Alexandra Galina Petre is a machine learning and data science expert, currently leading and teaching various engineering modules in Coventry, United Kingdom. Her leadership and management experience is linked to her work in quality management for the Airbus A380 and her IET membership. She received her Ph.D. in user feedback-based reinforcement learning for vehicle comfort control with a focus on revolutionary heating ventilation and air conditioning SARSA-based control systems that can learn from the driver's preferential changes to the UI. Her research is focusing on how thermal comfort depends on the occupant's inclination to manual control as outlined in the SAE paper published in 2019, and the development of a novel Java-based user model (UBL) integrated within a car cabin environment. She is working on deep RL implementations in Python and R-based statistical developments within various automation and control projects.
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