Mnih; Volodymyr
Patent Applications and Registrations
Patent applications and USPTO patent grants for Mnih; Volodymyr.The latest application filed is for "reinforcement learning using baseline and policy neural networks".
- Mnih; Volodymyr - Toronto CA
- Mnih; Volodymyr - London GB
| Patent | Date |
|---|---|
| Reinforcement Learning Using Baseline And Policy Neural Networks App 20220261647 - Mnih; Volodymyr ; et al. | 2022-08-18 |
| Image processing with recurrent attention Grant 11,354,548 - Mnih , et al. June 7, 2 | 2022-06-07 |
| Unsupervised Control Using Learned Rewards App 20220164673 - Warde-Farley; David Constantine Patrick ; et al. | 2022-05-26 |
| Asynchronous deep reinforcement learning Grant 11,334,792 - Mnih , et al. May 17, 2 | 2022-05-17 |
| Unsupervised control using learned rewards Grant 11,263,531 - Warde-Farley , et al. March 1, 2 | 2022-03-01 |
| Reinforcement Learning Using Target Neural Networks App 20210374538 - Mnih; Volodymyr ; et al. | 2021-12-02 |
| Controlling Agents Using Amortized Q Learning App 20210357731 - Van de Wiele; Tom ; et al. | 2021-11-18 |
| Reinforcement learning using target neural networks Grant 11,049,008 - Mnih , et al. June 29, 2 | 2021-06-29 |
| Reinforcement Learning With Auxiliary Tasks App 20210182688 - Mnih; Volodymyr ; et al. | 2021-06-17 |
| Asynchronous Deep Reinforcement Learning App 20210166127 - Mnih; Volodymyr ; et al. | 2021-06-03 |
| Reinforcement learning with auxiliary tasks Grant 10,956,820 - Mnih , et al. March 23, 2 | 2021-03-23 |
| Noisy Neural Network Layers With Noise Parameters App 20210065012 - Azar; Mohammad Gheshlaghi ; et al. | 2021-03-04 |
| Asynchronous deep reinforcement learning Grant 10,936,946 - Mnih , et al. March 2, 2 | 2021-03-02 |
| Distributed Training Using Actor-critic Reinforcement Learning With Off-policy Correction Factors App 20210034970 - Soyer; Hubert Josef ; et al. | 2021-02-04 |
| Noisy neural network layers with noise parameters Grant 10,839,293 - Azar , et al. November 17, 2 | 2020-11-17 |
| Image processing with recurrent attention Grant 10,748,041 - Mnih , et al. A | 2020-08-18 |
| Distributed Training Of Reinforcement Learning Systems App 20200117992 - Srinivasan; Praveen Deepak ; et al. | 2020-04-16 |
| Noisy Neural Network Layers App 20190362238 - Pietquin; Olivier ; et al. | 2019-11-28 |
| Unsupervised Control Using Learned Rewards App 20190354869 - Warde-Farley; David Constantine Patrick ; et al. | 2019-11-21 |
| Distributed training of reinforcement learning systems Grant 10,445,641 - Srinivasan , et al. Oc | 2019-10-15 |
| Reinforcement Learning With Auxiliary Tasks App 20190258938 - Mnih; Volodymyr ; et al. | 2019-08-22 |
| Asynchronous Deep Reinforcement Learning App 20190258929 - Mnih; Volodymyr ; et al. | 2019-08-22 |
| Asynchronous deep reinforcement learning Grant 10,346,741 - Mnih , et al. July 9, 2 | 2019-07-09 |
| Image processing with recurrent attention Grant 10,223,617 - Mnih , et al. | 2019-03-05 |
| Asynchronous Deep Reinforcement Learning App 20180260708 - Mnih; Volodymyr ; et al. | 2018-09-13 |
| Methods And Apparatus For Reinforcement Learning App 20170278018 - Mnih; Volodymyr ; et al. | 2017-09-28 |
| System And Method For Labelling Aerial Images App 20170228871 - Mnih; Volodymyr ; et al. | 2017-08-10 |
| System and method for labelling aerial images Grant 9,704,068 - Mnih , et al. July 11, 2 | 2017-07-11 |
| Methods and apparatus for reinforcement learning Grant 9,679,258 - Mnih , et al. June 13, 2 | 2017-06-13 |
| Asynchronous Deep Reinforcement Learning App 20170140270 - Mnih; Volodymyr ; et al. | 2017-05-18 |
| Distributed Training Of Reinforcement Learning Systems App 20160232445 - Srinivasan; Praveen Deepak ; et al. | 2016-08-11 |
| Methods And Apparatus For Reinforcement Learning App 20150100530 - MNIH; Volodymyr ; et al. | 2015-04-09 |
| System And Method For Labelling Aerial Images App 20130343641 - Mnih; Volodymyr ; et al. | 2013-12-26 |
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.
| 