This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Gdm Holding LLC. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Julien Perolat
Introduction
Julien Perolat is an accomplished inventor based in Saint-Étienne, France. He has made significant contributions to the field of artificial intelligence, particularly in the development of neural networks for controlling agents. His innovative approach has led to the creation of a unique patent that enhances the training of policy neural networks.
Latest Patents
Julien holds a patent titled "Training a policy neural network for controlling an agent using best response policy iteration." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a policy neural network by repeatedly updating it at each of a plurality of training iterations. One of the methods involves generating training data by controlling the agent according to an improved policy that selects actions based on input state representations. A best response computation is performed using a candidate policy generated from respective policy neural networks from preceding iterations and a candidate value neural network. The candidate value neural network estimates the value of the environment in a specific state representation to complete a particular task. The policy neural network is then updated based on the training data.
Career Highlights
Julien is currently associated with Gdm Holding LLC, where he applies his expertise in neural networks and artificial intelligence. His work focuses on advancing the capabilities of agents through innovative training methodologies.
Collaborations
Julien has collaborated with notable colleagues, including Thomas William Anthony and Thomas Edward Eccles. Their combined efforts contribute to the ongoing advancements in the field of artificial intelligence.
Conclusion
Julien Perolat's contributions to the field of artificial intelligence through his innovative patent demonstrate his commitment to advancing technology. His work continues to influence the development of intelligent systems and neural networks.