This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Denso International America, Inc., University of California. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
1 out of 910 
1 out of 16,025 
Years Active: 2026
Title: Chen Tang: Innovator in Reinforcement Learning
Introduction
Chen Tang is a prominent inventor based in Berkeley, CA. He has made significant contributions to the field of reinforcement learning, particularly through his innovative patent. His work focuses on developing methods for controlling devices using advanced planning techniques.
Latest Patents
Chen Tang holds a patent titled "Hierarchical planning through goal-conditioned offline reinforcement learning." This patent describes a method and system for controlling a device by training a low-level policy and a high-level goal planner. The process involves maximizing cumulative rewards over sub-goals to ensure that actions generated are executable and effective.
Career Highlights
Throughout his career, Chen has worked with notable organizations, including Denso International America, Inc. and the University of California. His experience in these institutions has allowed him to refine his skills and contribute to cutting-edge research in his field.
Collaborations
One of Chen's notable collaborators is Wei Zhan. Their partnership has likely fostered innovative ideas and advancements in their respective areas of expertise.
Conclusion
Chen Tang's work in reinforcement learning exemplifies the impact of innovative thinking in technology. His contributions continue to influence the development of intelligent systems and device control methodologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile