Remi Munos

This inventor holds 12 USPTO granted patents and 5 published patent applications, plus 1 CIPO patent and 10 EPO patents. Top assignees: Deepmind Technologies Limited, Gdm Holding LLC. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Remi Munos. Retrieved from https://idiyas.com/inventor/remi-munos

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

USPTO Granted Patents = 12 (Patent Applications = 5)

% Patents Active = 91.7

CIPO Patents = 1 (Patent Applications = 1)

EPO Patents = 10 (Patent Applications = 10)

Average Co-Inventor Count = 6.1

ph-index = 1

Forward Citations = 16(Granted Patents)

Company Filing History:

9 out of 313

Deepmind Technologies Limited

Years Active: 2020-2026

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12 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12762423 - Reinforcement learning using hindsight to model unpredictable aspects of the future (2026-10-13),

2. 12699893 - Self-supervised representation learning using bootstrapped latent representations (2026-08-04),

3. 12675699 - Learning environment representations for agent control using predictions of bootstrapped latents (2026-07-07),

4. 12299574 - Distributed training using actor-critic reinforcement learning with off-policy correction factors (2025-05-13),

5. 11977983 - Noisy neural network layers with noise parameters (2024-05-07),

6. 11868894 - Distributed training using actor-critic reinforcement learning with off-policy correction factors (2024-01-09),

7. 11727264 - Reinforcement learning using pseudo-counts (2023-08-15),

8. 11604997 - Training action selection neural networks using leave-one-out-updates (2023-03-14),

9. 11593646 - Distributed training using actor-critic reinforcement learning with off-policy correction factors (2023-02-28),

10. 11256990 - Memory-efficient backpropagation through time (2022-02-22),

11. 10936949 - Training machine learning models using task selection policies to increase learning progress (2021-03-02),

12. 10839293 - Noisy neural network layers with noise parameters (2020-11-17),

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Profile summary based on public USPTO records.