You will get custom Reinforcement Learning environment design and/or training pipeline

Milos V.Status: Offline
Milos V. Milos V.

Let a pro handle the details

Buy Other AI & Machine Learning services from Milos, priced and ready to go.
Milos V.Status: Offline
Milos V. Milos V.

Let a pro handle the details

Buy Other AI & Machine Learning services from Milos, priced and ready to go.

Project details

You will get a custom Reinforcement Learning solution designed by a PhD physicist with 6+ years in ML/AI R&D. I specialize in environment design, agent training, and end-to-end RL pipelines - translating complex business problems into working prototypes.

Whether you need a simulation environment from scratch, an agent trained on your specific reward structure, or a full RL system with documentation and architecture, I deliver research-grade solutions with production intent.

PhD in Fusion Science (Ghent University) | PyTorch | OR-Tools | Python 11+ years | Supply chain, logistics, and game-based RL experience.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Software Maintenance
AI Tools
MLflow, PyTorch
AI Development Language
Python
What's included
Service Tiers Starter
$500
Standard
$1,500
Advanced
$3,000
Delivery Time 30 days 50 days 70 days
Number of Revisions
468
AI Model Integration
Detailed Code Comments
Knowledge Graph
-
Model Documentation
-
Ontology
-
-
Source Code
Taxonomy
-
-
Milos V.Status: Offline
Milos V.Status: Offline
Machine & Reinforcement Learning, Godot Dev
Novi Sad, Serbia - 2:29 am local time
My domains are Machine Learning and Data Analysis. My primary
value and passion are making outside-of-the-box DS/ML solutions.
Worked in the esports (CSGO, Dota2, LoL) industry, as a huge Dota
2 fan since 2005 (DotA back then ;). Deployed several recommender
solutions. Now optimizing meat production at Volur.

Steps for completing your project

After purchasing the project, send requirements so Milos can start the project.

Delivery time starts when Milos receives requirements from you.

Milos works on your project following the steps below.

Revisions may occur after the delivery date.

Definition

Client sends problem description and KPIs.

Problem Design

Design and implement the RL environment (state/action/reward spaces).

Review the work, release payment, and leave feedback to Milos.