Reinforcement learning intelligent agent training method based on PPO algorithm
A technology of reinforcement learning and training methods, applied in the field of agent training, can solve the problem of not being able to solve the problem of maximizing the benefit signal reinforcement learning, and achieve the effect of reasonable design
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0125] see figure 1 , a PPO algorithm-based reinforcement learning agent training method, comprising the following steps:
[0126] Step 1, simulation configuration management, build the IP port and interval of the simulation platform, and start the simulation system according to the simulation IP and port;
[0127] Step 2. Training environment configuration. The training environment includes combat information such as scenario, environment, and army type required by the agent. Through the configuration of the training environment to construct different combat scenarios, the intelligence will respond differently according to different scenarios and environments;
[0128] Step 3: Select the PPO algorithm for hyperparameters, use Bayesian optimization, PBT and other technologies to select the PPO algorithm for reinforcement learning, and automatically adjust hyperparameters during the training process. At the same time, it supports manual configuration of algorithms and...
Embodiment 2
[0133] see figure 2 , a PPO algorithm-based reinforcement learning agent training method, comprising the following steps:
[0134] Step 1, simulation configuration management, build the IP port and interval of the simulation platform, and facilitate the activation of the blue army combat operation simulation system according to the simulation IP and port;
[0135] Step 2. Training environment configuration. The training environment includes combat information such as scenario, environment, and army type required by the agent. Through the configuration of the training environment to construct different combat scenarios, the intelligence will respond differently according to different scenarios and environments;
[0136] Step 3: Select the PPO algorithm for hyperparameters, use Bayesian optimization, PBT and other technologies to select the PPO algorithm for reinforcement learning, and automatically adjust hyperparameters during the training process. At the same time,...
PUM

Abstract
Description
Claims
Application Information

- R&D
- Intellectual Property
- Life Sciences
- Materials
- Tech Scout
- Unparalleled Data Quality
- Higher Quality Content
- 60% Fewer Hallucinations
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com