Ben Eisner

Title: Ben Eisner: Innovator in Continuous Action Learning and Tool Trajectory Estimation

Introduction

Ben Eisner is a notable inventor based in New York, NY (US). He has made significant contributions to the fields of machine learning and robotics, holding two patents that showcase his innovative approach to technology.

Latest Patents

Eisner's latest patents include an "Apparatus for Q-learning for continuous actions with cross-entropy guided policies and method thereof." This invention involves an apparatus designed to perform continuous actions by utilizing a cross-entropy guided policy neural network. The apparatus is capable of obtaining the first action of an agent based on its current state and controlling the execution of that action. The neural network is trained using a cross-entropy method policy neural network to derive a second action based on the agent's input state.

Another significant patent is the "Method and apparatus for estimating tool trajectories." This invention includes an apparatus that estimates the trajectory of a tool by processing a grayscale image and a depth image of a target object. The apparatus utilizes a pixels-to-plans neural network, which is trained based on a labeled tool trajectory generated from a point cloud model of the target object.

Career Highlights

Ben Eisner is currently employed at Samsung Electronics Co., Ltd., where he continues to develop innovative technologies. His work focuses on enhancing machine learning applications and improving robotic functionalities.

Collaborations

Eisner has collaborated with notable colleagues, including Eric Anthony Mitchell and Sebastian Seung. These collaborations have contributed to the advancement of his research and inventions.

Conclusion

Ben Eisner is a prominent inventor whose work in continuous action learning and tool trajectory estimation has the potential to impact various technological fields. His patents reflect a commitment to innovation and excellence in engineering.