Deepmind technologies limited (20240220795). PLANNING USING A JUMPY TRAJECTORY DECODER NEURAL NETWORK simplified abstract
Contents
- 1 PLANNING USING A JUMPY TRAJECTORY DECODER NEURAL NETWORK
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PLANNING USING A JUMPY TRAJECTORY DECODER NEURAL NETWORK - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
PLANNING USING A JUMPY TRAJECTORY DECODER NEURAL NETWORK
Organization Name
Inventor(s)
Arunkumar Byravan of London (GB)
Jost Tobias Springenberg of London (GB)
Martin Riedmiller of Balgheim (DE)
Nicolas Manfred Otto Heess of London (GB)
Leonard Hasenclever of London (GB)
Abbas Abdolmaleki of London (GB)
PLANNING USING A JUMPY TRAJECTORY DECODER NEURAL NETWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240220795 titled 'PLANNING USING A JUMPY TRAJECTORY DECODER NEURAL NETWORK
Simplified Explanation
The patent application describes methods, systems, and apparatus for controlling agents using jumpy trajectory decoder neural networks.
Key Features and Innovation
- Utilizes jumpy trajectory decoder neural networks to control agents.
- Computer programs encoded on a computer storage medium are employed.
- Provides a unique approach to agent control in various applications.
Potential Applications
The technology can be applied in robotics, autonomous vehicles, gaming, and virtual reality simulations.
Problems Solved
- Enhances the precision and efficiency of agent control.
- Improves the overall performance of systems utilizing agent control.
Benefits
- Increased accuracy in agent control.
- Enhanced user experience in applications utilizing the technology.
Commercial Applications
The technology can be utilized in industries such as robotics, gaming, virtual reality, and autonomous vehicles, leading to improved performance and user experience.
Questions about the Technology
What are the primary advantages of using jumpy trajectory decoder neural networks in agent control?
Jumpy trajectory decoder neural networks offer increased accuracy and efficiency in controlling agents, leading to improved performance in various applications.
How does the technology impact the user experience in gaming and virtual reality simulations?
The technology enhances the user experience by providing more precise and responsive agent control, resulting in a more immersive and engaging experience for users.
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for controlling agents using jumpy trajectory decoder neural networks.
- Deepmind technologies limited
- Jingwei Zhang of London (GB)
- Arunkumar Byravan of London (GB)
- Jost Tobias Springenberg of London (GB)
- Martin Riedmiller of Balgheim (DE)
- Nicolas Manfred Otto Heess of London (GB)
- Leonard Hasenclever of London (GB)
- Abbas Abdolmaleki of London (GB)
- Dushyant Rao of London (GB)
- G06N3/08
- CPC G06N3/08