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name:-0.012977838516235
name:-0.02091383934021
Heess; Nicolas Manfred Otto Patent Filings

Heess; Nicolas Manfred Otto

Patent Applications and Registrations

Patent applications and USPTO patent grants for Heess; Nicolas Manfred Otto.The latest application filed is for "hierarchical policies for multitask transfer".

Company Profile
19.10.20
  • Heess; Nicolas Manfred Otto - London GB
  • Heess; Nicolas Manfred Otto - Cambridge GB
*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.
Patent Activity
PatentDate
Hierarchical Policies For Multitask Transfer
App 20220237488 - Wulfmeier; Markus ;   et al.
2022-07-28
Imagination-based agent neural networks
Grant 11,328,183 - Wierstra , et al. May 10, 2
2022-05-10
Multi-task Neural Network Systems With Task-specific Policies And A Shared Policy
App 20220083869 - Pascanu; Razvan ;   et al.
2022-03-17
Selecting reinforcement learning actions using a low-level controller
Grant 11,210,585 - Heess , et al. December 28, 2
2021-12-28
Multi-task neural network systems with task-specific policies and a shared policy
Grant 11,132,609 - Pascanu , et al. September 28, 2
2021-09-28
Imagination-based Agent Neural Networks
App 20210089834 - Wierstra; Daniel Pieter ;   et al.
2021-03-25
Imagination-based Agent Neural Networks
App 20210073594 - Wierstra; Daniel Pieter ;   et al.
2021-03-11
Graph Neural Networks Representing Physical Systems
App 20210049467 - Riedmiller; Martin ;   et al.
2021-02-18
Continuous Control With Deep Reinforcement Learning
App 20200410351 - Lillicrap; Timothy Paul ;   et al.
2020-12-31
Imagination-based agent neural networks
Grant 10,860,895 - Wierstra , et al. December 8, 2
2020-12-08
Training Action Selection Neural Networks Using Off-policy Actor Critic Reinforcement Learning
App 20200293862 - Wang; Ziyu ;   et al.
2020-09-17
Imagination-based agent neural networks
Grant 10,776,670 - Wierstra , et al. Sept
2020-09-15
Continuous control with deep reinforcement learning
Grant 10,776,692 - Lillicrap , et al. Sept
2020-09-15
Data-efficient Reinforcement Learning For Continuous Control Tasks
App 20200285909 - Riedmiller; Martin ;   et al.
2020-09-10
Neural Networks For Selecting Actions To Be Performed By A Robotic Agent
App 20200223063 - Pascanu; Razvan ;   et al.
2020-07-16
Training action selection neural networks using off-policy actor critic reinforcement learning
Grant 10,706,352 - Wang , et al.
2020-07-07
Data-efficient reinforcement learning for continuous control tasks
Grant 10,664,725 - Riedmiller , et al.
2020-05-26
Training Action Selection Neural Networks Using Apprenticeship
App 20200151562 - Pietquin; Olivier ;   et al.
2020-05-14
Neural networks for selecting actions to be performed by a robotic agent
Grant 10,632,618 - Pascanu , et al.
2020-04-28
Multi-task Neural Network Systems With Task-specific Policies And A Shared Policy
App 20200090048 - Pascanu; Razvan ;   et al.
2020-03-19
Imagination-based Agent Neural Networks
App 20200090006 - Wierstra; Daniel Pieter ;   et al.
2020-03-19
Data Efficient Imitation Of Diverse Behaviors
App 20200090042 - Wayne; Gregory Duncan ;   et al.
2020-03-19
Imagination-based Agent Neural Networks
App 20200082227 - Wierstra; Daniel Pieter ;   et al.
2020-03-12
Data-efficient Reinforcement Learning For Continuous Control Tasks
App 20190354813 - Riedmiller; Martin ;   et al.
2019-11-21
Training Action Selection Neural Networks
App 20190258918 - Wang; Ziyu ;   et al.
2019-08-22
Neural Networks For Selecting Actions To Be Performed By A Robotic Agent
App 20190232489 - Pascanu; Razvan ;   et al.
2019-08-01
Reinforcement And Imitation Learning For A Task
App 20190126472 - Tunyasuvunakool; Saran ;   et al.
2019-05-02
Continuous Control With Deep Reinforcement Learning
App 20170024643 - Lillicrap; Timothy Paul ;   et al.
2017-01-26
Image processing using masked restricted boltzmann machines
Grant 8,229,221 - Le Roux , et al. July 24, 2
2012-07-24
Image Processing Using Masked Restricted Boltzmann Machines
App 20110033122 - Le Roux; Nicolas ;   et al.
2011-02-10

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