You will get Reinforcement Learning AI with a backend API
Project details
Are you looking to integrate intelligent, autonomous decision-making AI into your game, simulation, or web application?
I am an AI Developer specializing in Reinforcement Learning (RL) and Full-Stack AI Deployment. I don't just train models in Jupyter Notebooks; I build the robust architecture required to bring them to life on the web.
What I can do for you:
Custom Environment Setup: Creating custom Gymnasium environments tailored to your specific problem.
Advanced RL Training: Implementing state-of-the-art algorithms (like DQN or Double DQN) using PyTorch to train agents that learn to maximize rewards autonomously.
Backend API Development: Wrapping the trained PyTorch models in a lightning-fast API using FastAPI, allowing seamless communication between the AI and your software.
Interactive Frontend: Building custom web interfaces (HTML5 Canvas/JavaScript) that visualize the AI's behavior in real-time.
Perfect for: AI Game bots, automated decision-making systems, and interactive "Human vs AI" showcases.
Let's discuss your custom environment and bring your AI vision to the web!
I am an AI Developer specializing in Reinforcement Learning (RL) and Full-Stack AI Deployment. I don't just train models in Jupyter Notebooks; I build the robust architecture required to bring them to life on the web.
What I can do for you:
Custom Environment Setup: Creating custom Gymnasium environments tailored to your specific problem.
Advanced RL Training: Implementing state-of-the-art algorithms (like DQN or Double DQN) using PyTorch to train agents that learn to maximize rewards autonomously.
Backend API Development: Wrapping the trained PyTorch models in a lightning-fast API using FastAPI, allowing seamless communication between the AI and your software.
Interactive Frontend: Building custom web interfaces (HTML5 Canvas/JavaScript) that visualize the AI's behavior in real-time.
Perfect for: AI Game bots, automated decision-making systems, and interactive "Human vs AI" showcases.
Let's discuss your custom environment and bring your AI vision to the web!
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, fastText, GitHub Copilot, GPT-3, Keras, MATLAB, Microsoft Power BI, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, Sonnet, SQL, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$15
|
Standard
$20
|
Advanced
$35
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 2 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $13
Additional Revision
+$10
Additional Model Variation
(+ 3 Days)
+$10
Additional Scenario
(+ 2 Days)
+$10Frequently asked questions
About Mohamed
Machine Learning | Deep Learning Engineer
Tanta, Egypt - 3:50 pm local time
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Environment Setup & Analysis
I will analyze your requirements and set up the custom simulation or Gymnasium environment where the AI will train.
RL Model Training
I will build and train the Reinforcement Learning model (e.g., DDQN) using PyTorch until it achieves optimal performance.