Nag; Dev

Patent Applications and Registrations

Patent applications and USPTO patent grants for Nag; Dev.The latest application filed is for "methods and systems that identify dimensions related to anomalies in system components of distributed computer systems using clustered traces, metrics, and component-associated attribute values".

Company Profile

16.12.12

Nag; Dev - Palo Alto CA

*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.

Patent Activity

Patent	Date
Methods and systems that identify dimensions related to anomalies in system components of distributed computer systems using clustered traces, metrics, and component-associated attribute values Grant 11,416,364 - Grigoryan , et al. August 16, 2	2022-08-16
Simulator-training for automated reinforcement-learning-based application-managers Grant 11,238,372 - Nag , et al. February 1, 2	2022-02-01
Methods and Systems that Identify Dimensions Related to Anomalies in System Components of Distributed Computer Systems using Traces, Metrics, and Component-Associated Attribute Values App 20210303438 - Nag; Dev ; et al.	2021-09-30
Methods And Systems That Identify Dimensions Related To Anomalies In System Components Of Distributed Computer Systems Using Clustered Traces, Metrics, And Component-associated Attribute Values App 20210303431 - Grigoryan; Naira Movses ; et al.	2021-09-30
Methods and systems that identify dimensions related to anomalies in system components of distributed computer systems using traces, metrics, and component-associated attribute values Grant 11,113,174 - Nag , et al. September 7, 2	2021-09-07
Automated reinforcement-learning-based application manager that uses action tags and metric tags Grant 11,080,623 - Nag , et al. August 3, 2	2021-08-03
Safe-operation-constrained reinforcement-learning-based application manager Grant 11,042,640 - Nag , et al. June 22, 2	2021-06-22
Transferable training for automated reinforcement-learning-based application-managers Grant 11,037,058 - Nag , et al. June 15, 2	2021-06-15
Adversarial automated reinforcement-learning-based application-manager training Grant 10,977,579 - Nag , et al. April 13, 2	2021-04-13
Automated reinforcement-learning-based application manager that uses local agents Grant 10,970,649 - Nag , et al. April 6, 2	2021-04-06
Automated reinforcement-learning-based application manager that learns and improves a reward function Grant 10,963,313 - Nag , et al. March 30, 2	2021-03-30
Computationally efficient reinforcement-learning-based application manager Grant 10,949,263 - Nag , et al. March 16, 2	2021-03-16
Administrator-monitored reinforcement-learning-based application manager Grant 10,922,092 - Nag , et al. February 16, 2	2021-02-16
Modular reinforcement-learning-based application manager Grant 10,802,864 - Nag , et al. October 13, 2	2020-10-13
Administrator-monitored Reinforcement-learning-based Application Manager App 20200065118 - Nag; Dev ; et al.	2020-02-27
Safe-operation-constrained Reinforcement-learning-based Application Manager App 20200065495 - Nag; Dev ; et al.	2020-02-27
Automated Reinforcement-learning-based Application Manager That Uses Local Agents App 20200065702 - Nag; Dev ; et al.	2020-02-27
Adversarial Automated Reinforcement-learning-based Application-manager Training App 20200065703 - Nag; Dev ; et al.	2020-02-27
Simulator-training For Automated Reinforcement-learning-based Application-managers App 20200065704 - Nag; Dev ; et al.	2020-02-27
Automated Reinforcement-learning-based Application Manager That Uses Action Tags And Metric Tags App 20200065701 - Nag; Dev ; et al.	2020-02-27
Transferable Training For Automated Reinforcement-learning-based Application-managers App 20200065670 - Nag; Dev ; et al.	2020-02-27
Computationally Efficient Reinforcement-learning-based Application Manager App 20200065156 - Nag; Dev ; et al.	2020-02-27
Automated Reinforcement-learning-based Application Manager That Learns And Improves A Reward Function App 20200065157 - Nag; Dev ; et al.	2020-02-27
Modular Reinforcement-learning-based Application Manager App 20200065128 - Nag; Dev ; et al.	2020-02-27

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.