DeepMind Technologies Limited patent applications on January 30th, 2025

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Patent Applications by DeepMind Technologies Limited on January 30th, 2025

DeepMind Technologies Limited: 2 patent applications

DeepMind Technologies Limited has applied for patents in the areas of A63F13/798 (1), A63F13/822 (1), G06F17/18 (1), G06N3/092 (1), G06N3/0475 (1) A63F13/798 (1), G06N3/092 (1)

With keywords such as: selection, action, training, policies, tasks, task, pool, methods, computer, and generative in patent application abstracts.



Patent Applications by DeepMind Technologies Limited

20250032936. RATING TASKS AND POLICIES USING CONDITIONAL PROBABILITY DISTRIBUTIONS DERIVED FROM EQUILIBRIUM-BASED SOLUTIONS OF GAMES_simplified_abstract_(deepmind technologies limited)

Inventor(s): Luke Christopher Marris of London (GB) for deepmind technologies limited

IPC Code(s): A63F13/798, A63F13/822, G06F17/18

CPC Code(s): A63F13/798



Abstract: methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for rating tasks and policies using conditional probability distributions derived from equilibrium-based solutions of games. one of the methods includes: determining, for each action selection policy in a pool of action selection policies, a respective performance measure of the action selection policy on each task in a pool of tasks, processing the performance measures of the action selection policies on the tasks to generate data defining a joint probability distribution over a set of action selection policy-task pairs, and processing the joint probability distribution over the set of action selection policy-task pairs to generate a respective rating for each task in the pool of tasks, where the respective rating for each task characterizes a level of difficulty of the task for action selection policies in the pool of action selection policies.


20250036958. TRAINING GENERATIVE NEURAL NETWORKS THROUGH REINFORCED SELF-TRAINING_simplified_abstract_(deepmind technologies limited)

Inventor(s): Caglar Gulcehre of Lausanne (CH) for deepmind technologies limited, Thomas Le Paine of London (GB) for deepmind technologies limited, Srivatsan Srinivasan of London (GB) for deepmind technologies limited, Ksenia Konyushkova of London (GB) for deepmind technologies limited, Lotte Petronella Jacoba Weerts of London (GB) for deepmind technologies limited, Abhishek Sharma of Sunnyvale CA (US) for deepmind technologies limited, Aditya Siddhant of Brooklyn NY (US) for deepmind technologies limited, Orhan Firat of Mountain View CA (US) for deepmind technologies limited

IPC Code(s): G06N3/092, G06N3/0475

CPC Code(s): G06N3/092



Abstract: methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a generative neural network. one of the methods includes training a generative neural network by performing a sequence of a plurality training stages each generating an expanded training data set. the method also involves performing a sequence of improve steps, each comprising training the generative neural network on the training examples in a corresponding subset of the expanded training data set.


DeepMind Technologies Limited patent applications on January 30th, 2025