Growing community of inventors

Seattle, WA, United States of America

Todd Andrew Hester

Average Co-Inventor Count = 10.00

ph-index = 1

The patent ph-index is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times.

Forward Citations = 1

Todd Andrew HesterNicolas Manfred Otto Heess (2 patents)Todd Andrew HesterMel Vecerik (2 patents)Todd Andrew HesterMartin Riedmiller (2 patents)Todd Andrew HesterJonathan Karl Scholz (2 patents)Todd Andrew HesterThomas Lampe (2 patents)Todd Andrew HesterBilal Piot (2 patents)Todd Andrew HesterThomas Rothoerl (2 patents)Todd Andrew HesterOlivier Claude Pietquin (2 patents)Todd Andrew HesterTimothy Arthur Mann (4 patents)Todd Andrew HesterRae Chan Jeong (2 patents)Todd Andrew HesterWang Fumin (2 patents)Todd Andrew HesterAbbas Abdolmaleki (1 patent)Todd Andrew HesterDaniel J Mankowitz (1 patent)Todd Andrew HesterMartin Riedmiller (0 patent)Todd Andrew HesterJost Tobias Springenberg (0 patent)Todd Andrew HesterNir Levine (0 patent)Todd Andrew HesterTodd Andrew Hester (3 patents)Nicolas Manfred Otto HeessNicolas Manfred Otto Heess (20 patents)Mel VecerikMel Vecerik (10 patents)Martin RiedmillerMartin Riedmiller (7 patents)Jonathan Karl ScholzJonathan Karl Scholz (7 patents)Thomas LampeThomas Lampe (6 patents)Bilal PiotBilal Piot (6 patents)Thomas RothoerlThomas Rothoerl (4 patents)Olivier Claude PietquinOlivier Claude Pietquin (4 patents)Timothy Arthur MannTimothy Arthur Mann (4 patents)Rae Chan JeongRae Chan Jeong (2 patents)Wang FuminWang Fumin (2 patents)Abbas AbdolmalekiAbbas Abdolmaleki (1 patent)Daniel J MankowitzDaniel J Mankowitz (1 patent)Martin RiedmillerMartin Riedmiller (0 patent)Jost Tobias SpringenbergJost Tobias Springenberg (0 patent)Nir LevineNir Levine (0 patent)
..
Inventor’s number of patents
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Strength of working relationships

Company Filing History:

1. Deepmind Technologies Limited (2 from 308 patents)

2. Gdm Holding LLC (1 from 12 patents)


3 patents:

1. 12468779 - Training action-selection neural networks from demonstrations using multiple losses

2. 11886997 - Training action selection neural networks using apprenticeship

3. 11868882 - Training action selection neural networks using apprenticeship

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