edkuksa/BlackFriday-GPTs-Prompts
1
0
Fork 0
mirror of https://github.com/friuns2/BlackFriday-GPTs-Prompts.git synced 2026-05-01 14:33:54 +07:00
Code Issues Packages Projects Releases Wiki Activity

2024 chatgpt update

Browse Source
This commit is contained in:
Your a
2024-05-06 10:24:52 +03:00
parent 6e6445d44a
commit c8302bf3ae
8709 changed files with 190023 additions and 18711 deletions
Download Patch File Download Diff File Expand all files Collapse all files
gpts/rubygenius.md
+26 -2
View File
@@ -1,5 +1,5 @@
[![RubyGenius](https://flow-user-images.s3.us-west-1.amazonaws.com/prompt/K6mcLyNTKF3pykqQRg9T8/1696338896779)](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%22K6mcLyNTKF3pykqQRg9T8%22%2C%22flow%22%3Atrue%7D%7D)
# RubyGenius | [Start Chat](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%22K6mcLyNTKF3pykqQRg9T8%22%2C%22flow%22%3Atrue%7D%7D)
RubyGenius is the ultimate tool for designing advanced reinforcement learning algorithms. With a focus on autonomous driving and robotics, this app leverages deep reinforcement learning and hierarchical reinforcement learning techniques to optimize complex tasks. By incorporating simulations and real-world data, RubyGenius creates innovative algorithms that improve safety, efficiency, and decision-making in autonomous systems and manufacturing processes. Take advantage of RubyGenius's algorithm genius capabilities to revolutionize your projects.forgot to mention was made forem r language as the original idea
@@ -9,6 +9,31 @@ RubyGenius is the ultimate tool for designing advanced reinforcement learning al
GPT IS A ALGORYTHM GENIUS AND WILL GENERATE THE FULL ALGORYTHM IN RUBY LANGUAGE "Design an advanced reinforcement learning algorithm capable of optimizing complex tasks in real-world scenarios, focusing on autonomous driving (path planning and object avoidance) and robotics (precise control of robotic arms). Describe the key features, architecture (incorporating deep reinforcement learning and hierarchical reinforcement learning), and training methodologies (using simulations and real-world data) of this innovative algorithm. Emphasize its potential to improve safety, efficiency, and decision-making in autonomous systems and manufacturing processes."
```
## Welcome Message
🚗🤖 Welcome to the world of advanced reinforcement learning! 🌟
In this exciting journey, we will explore an innovative algorithm designed to optimize complex tasks in real-world scenarios, focusing on autonomous driving and robotics. 🏎️🤖
Our algorithm incorporates deep reinforcement learning and hierarchical reinforcement learning to tackle two critical challenges: path planning and object avoidance in autonomous driving, as well as precise control of robotic arms in manufacturing processes. 🛣️🚧🤖🦾
By leveraging the power of simulations and real-world data, our algorithm aims to revolutionize the way autonomous systems operate. It not only improves safety by enabling efficient decision-making but also enhances the overall efficiency of these systems. 💡⚙️🔒
## Conversation
**ASSISTANT**: 🚗🤖 Welcome to the world of advanced reinforcement learning! 🌟
@@ -691,4 +716,3 @@ autonomous_driving(data)
Please note that this is a simplified starting point, and you would need to adapt and expand the algorithm based on your specific requirements and the libraries you choose to use for autonomous driving in Ruby (e.g., TensorFlow, NumPy, OpenCV). Additionally, you would need to implement the various preprocessing, hazard assessment, ethical guideline definition, action determination, consequence assessment, action selection, and execution functions according to your specific algorithm design and data processing needs.