18049479. METHOD FOR TRAINING AIRCRAFT CONTROL AGENT simplified abstract (The Boeing Company)
Contents
METHOD FOR TRAINING AIRCRAFT CONTROL AGENT
Organization Name
Inventor(s)
Deepak Khosla of Malibu CA (US)
Sean Soleyman of Malibu CA (US)
Joshua G. Fadaie of Malibu CA (US)
METHOD FOR TRAINING AIRCRAFT CONTROL AGENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18049479 titled 'METHOD FOR TRAINING AIRCRAFT CONTROL AGENT
- Simplified Explanation:**
The patent application describes a method for training an agent to control an aircraft in different environments by selecting actions based on states and rewards.
- Key Features and Innovation:**
- Training an agent to control an aircraft in varying environments.
- Selecting actions based on states and rewards in each environment.
- Updating the agent's behavior based on the rewards received.
- Adapting to different rules in different environments.
- Potential Applications:**
This technology could be applied in:
- Autonomous aircraft control systems.
- Flight simulators for pilot training.
- Drone navigation and control.
- Problems Solved:**
- Enhancing the adaptability of aircraft control systems.
- Improving the efficiency of training agents for complex tasks.
- Addressing the need for intelligent systems in aviation.
- Benefits:**
- Increased safety and precision in aircraft control.
- Enhanced training capabilities for pilots and autonomous systems.
- Improved decision-making in dynamic environments.
- Commercial Applications:**
- Title: "Advanced Aircraft Control Training Technology"
- This technology could be used in the aviation industry for pilot training programs, drone navigation systems, and autonomous aircraft control systems.
- Market Implications: Increased demand for advanced training solutions in the aviation sector.
- Questions about Aircraft Control Training Technology:**
1. What are the potential implications of this technology for the aviation industry?
- This technology could revolutionize pilot training programs and enhance the capabilities of autonomous aircraft systems, leading to increased safety and efficiency in aviation operations.
2. How does this method compare to traditional aircraft control training techniques?
- This method offers a more adaptive and dynamic approach to training agents for aircraft control, allowing for better performance in varying environments.
Original Abstract Submitted
An example includes a method for training an agent to control an aircraft. The method includes: selecting, by the agent, first actions for the aircraft to perform within a first environment respectively during first time intervals based on first states of the first environment during the first time intervals, updating the agent based on first rewards that correspond respectively to the first states, selecting, by the agent, second actions for the aircraft to perform within a second environment respectively during second time intervals based on second states of the second environment during the second time intervals, and updating the agent based on second rewards that correspond respectively to the second states. At least one first rule of the first environment is different from at least one rule of the second environment.
