This inventor holds 1 USPTO granted patent and 2 published patent applications and 1 EPO patent. Top assignee: Google Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Aviral Kumar: Innovator in Data-Driven Reinforcement Learning
Introduction
Aviral Kumar is a prominent inventor based in Berkeley, CA. He has made significant contributions to the field of data-driven reinforcement learning. His innovative approach has led to the development of a unique patent that enhances the efficiency of task execution in this domain.
Latest Patents
Aviral Kumar holds a patent titled "Offline primitive discovery for accelerating data-driven reinforcement learning." This method involves determining a first state associated with a specific task and utilizing a task policy model to derive a latent space representation of that state. The task policy model is trained to define a corresponding latent space representation for each possible state related to the task. Furthermore, the method includes using a primitive policy model to determine an action based on the first state and its latent representation. This action is executed to transition to a second state associated with the task. Aviral Kumar has 1 patent to his name.
Career Highlights
Aviral Kumar is currently employed at Google Inc., where he continues to push the boundaries of innovation in artificial intelligence and machine learning. His work focuses on improving algorithms that facilitate better decision-making processes in complex environments.
Collaborations
Aviral collaborates with Anurag Ajay, leveraging their combined expertise to advance their research and development efforts in the field of reinforcement learning.
Conclusion
Aviral Kumar's contributions to data-driven reinforcement learning exemplify the impact of innovative thinking in technology. His patent and ongoing work at Google Inc. highlight his role as a key player in the advancement of artificial intelligence.