Deepmind technologies limited (20240185082). IMITATION LEARNING BASED ON PREDICTION OF OUTCOMES simplified abstract
Contents
IMITATION LEARNING BASED ON PREDICTION OF OUTCOMES
Organization Name
Inventor(s)
Andrew Coulter Jaegle of London (GB)
Gregory Duncan Wayne of London (GB)
Robert David Fergus of New York NY (US)
IMITATION LEARNING BASED ON PREDICTION OF OUTCOMES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240185082 titled 'IMITATION LEARNING BASED ON PREDICTION OF OUTCOMES
Simplified Explanation
The method proposed in this patent application involves training a policy model to generate action data for controlling an agent in performing a task in an environment. Here is a simplified explanation of the abstract:
- Obtaining demonstrator trajectories for multiple performances of the task, each trajectory containing sets of state data at successive time steps.
- Generating a demonstrator model based on these trajectories to predict the probability of their occurrence.
- Jointly training an imitator model and a policy model by generating imitation trajectories, training the imitator model, and training the policy model using a reward function based on the similarity of the demonstrator and imitator models.
Key Features and Innovation:
- Training a policy model using a combination of demonstrator and imitation trajectories.
- Using a reward function based on model similarity to train the policy model.
- Incorporating an imitator model to improve the training process.
Potential Applications:
- Robotics
- Autonomous vehicles
- Gaming AI
Problems Solved:
- Enhancing the training process for policy models
- Improving the performance of agents in dynamic environments
Benefits:
- More efficient training of policy models
- Better control of agents in complex tasks
- Enhanced adaptability to changing environments
Commercial Applications:
- Autonomous driving systems
- Industrial automation
- Video game development
Prior Art: No prior art information provided.
Frequently Updated Research: No information on frequently updated research related to this technology.
Questions about the technology: Question 1: How does the imitator model improve the training process compared to using only demonstrator trajectories? Answer: The imitator model helps to generate additional data for training the policy model, leading to better performance in dynamic environments.
Question 2: What are the potential limitations of using this method in real-world applications? Answer: One potential limitation could be the computational resources required for training both the imitator and policy models simultaneously.
Original Abstract Submitted
a method is proposed of training a policy model to generate action data for controlling an agent to perform a task in an environment. the method comprises: obtaining, for each of a plurality of performances of the task, a corresponding demonstrator trajectory comprising a plurality of sets of state data characterizing the environment at each of a plurality of corresponding successive time steps during the performance of the task; using the demonstrator trajectories to generate a demonstrator model, the demonstrator model being operative to generate, for any said demonstrator trajectory, a value indicative of the probability of the demonstrator trajectory occurring; and jointly training an imitator model and a policy model. the joint training is performed by: generating a plurality of imitation trajectories, each imitation trajectory being generated by repeatedly receiving state data indicating a state of the environment, using the policy model to generate action data indicative of an action, and causing the action to be performed by the agent; training the imitator model using the imitation trajectories, the imitator model being operative to generate, for any said imitation trajectory, a value indicative of the probability of the imitation trajectory occurring; and training the policy model using a reward function which is a measure of the similarity of the demonstrator model and the imitator model.
