Hitchin
United Kingdom
41
2026-06-18
The entities that hold a legal rights for patent applications filed by inventor Silver David:
David Silver from Hitchin, GB has applied for patents for these inventions. The list has both pending applications and granted patents:
MULTI-AGENT REINFORCEMENT LEARNING WITH MATCHMAKING POLICIES
#2 | 2026-04-16CONTINUOUS CONTROL WITH DEEP REINFORCEMENT LEARNING
#3 | 2025-05-08TRAINING ACTION SELECTION NEURAL NETWORKS USING LOOK-AHEAD SEARCH
#4 | 2025-02-06TRAINING NEURAL NETWORKS USING A PRIORITIZED EXPERIENCE MEMORY
#5 | 2024-11-07MULTI-AGENT REINFORCEMENT LEARNING WITH MATCHMAKING POLICIES
#6 | 2024-10-31REINFORCEMENT LEARNING USING BASELINE AND POLICY NEURAL NETWORKS
#7 | 2024-06-06Training action selection neural networks using look-ahead search
#8 | 2024-05-30CONTINUOUS CONTROL WITH DEEP REINFORCEMENT LEARNING
#9 | 2024-05-02REINFORCEMENT LEARNING WITH AUXILIARY TASKS
#10 | 2024-04-18OPTIMIZING ALGORITHMS FOR HARDWARE DEVICES
#11 | 2024-03-28SEQUENCE-TO SEQUENCE NEURAL NETWORK SYSTEMS USING LOOK AHEAD TREE SEARCH
#12 | 2023-08-03Multi-agent reinforcement learning with matchmaking policies
#13 | 2023-08-03Training neural networks using a prioritized experience memory
#14 | 2023-05-11LEARNING OPTIONS FOR ACTION SELECTION WITH META-GRADIENTS IN MULTI-TASK REINFORCEMENT LEARNING
#15 | 2023-03-16Training action selection neural networks using look-ahead search
#16 | 2022-08-18Reinforcement learning using baseline and policy neural networks
#17 | 2021-06-17Reinforcement learning with auxiliary tasks
#18 | 2021-06-03Asynchronous deep reinforcement learning
#19 | 2021-03-25Meta-gradient updates for training return functions for reinforcement learning systems
#20 | 2020-12-31Continuous control with deep reinforcement learning
#21 | 2020-10-15Environment prediction using reinforcement learning
#22 | 2020-08-20Training neural networks using a prioritized experience memory
#23 | 2020-07-30Multi-agent reinforcement learning with matchmaking policies
#24 | 2020-04-16Distributed training of reinforcement learning systems
#25 | 2019-11-21Meta-gradient updates for training return functions for reinforcement learning systems
#26 | 2019-08-22Environment prediction using reinforcement learning
#27 | 2019-08-22Reinforcement learning with auxiliary tasks
#28 | 2019-08-22Asynchronous deep reinforcement learning
#29 | 2018-09-13Asynchronous deep reinforcement learning
#30 | 2018-09-13Training neural networks using a prioritized experience memory
#31 | 2018-02-01Selecting actions to be performed by a reinforcement learning agent using tree search
#32 | 2018-02-01TRAINING A POLICY NEURAL NETWORK AND A VALUE NEURAL NETWORK
#33 | 2017-05-18Asynchronous deep reinforcement learning
#34 | 2017-05-18Training neural networks using a prioritized experience memory
#35 | 2017-01-26Continuous control with deep reinforcement learning
#36 | 2016-10-06Selecting reinforcement learning actions using goals and observations
#37 | 2016-08-11Distributed training of reinforcement learning systems
#38 | 2015-04-09Online temporal difference learning from incomplete customer interaction histories
#39 | 2013-05-02Online temporal difference learning from incomplete customer interaction histories
#40 | 2013-03-28Online asynchronous reinforcement learning from concurrent customer histories
#41 | 2013-03-28Online asynchronous reinforcement learning from concurrent customer histories
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