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Fiverr Pro
Nederlands
$
USD
I will develop reinforcement learning models for robotics games and automation python
AI and ML Engineer, YOLO and Computer Vision Expert, Published Researcher
AI/ML Engineer, published researcher (Sensors, MDPI), Kaggle Expert, Roboflow Expert. Built YOLO-OcuLite, under review in Nature Comms Medicine, CMPB.
Computer Vision: YOLO (v5-v26), object detection,...
Over deze dienst
I build stable, optimized, production-ready reinforcement learning agents for robotics, automation, game AI, and simulation tasks.
I'm Abdullah, a published AI researcher (Sensors, MDPI), Kaggle Expert. I implement PPO, DQN, SAC, TD3 using Stable Baselines3 and RLlib, not just tutorials, real deployable systems.
Services
- Custom RL agent development PPO, DQN, SAC, TD3, A3C
- Robotics simulation PyBullet, MuJoCo, Gazebo, Isaac Gym
- Reward shaping and custom environment design
- Multi-agent RL systems
- Cloud and edge deployment via FastAPI or Flask
You Receive
- Trained an RL agent with a full training pipeline
- Reward curve and performance report
- Clean, documented Python code
- Deployment-ready model
Send your environment details and goal before ordering.
"Most RL agents fail in the real world. Mine are built for it."
Programmeertaal:
Python
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MATLAB
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SQL
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Colab
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Amazon SageMaker
Mijn portfolio
Andere Data science en ML diensten die ik aanbied
Veelgestelde vragen
What RL algorithms do you implement?
PPO, DQN, SAC, TD3, A3C, and custom architectures using Stable Baselines3 or RLlib.
What simulators do you support?
PyBullet, MuJoCo, Isaac Gym, Gazebo, Webots, OpenAI Gym, and custom environments
What do I need to provide?
Environment description, task goal, reward structure if defined, and any existing code.
Do you support multi-agent RL?
Yes — MARL environments available on request.
Can you deploy the trained agent?
Yes — AWS, GCP, Azure, or FastAPI/Flask API included in Premium package.
Do you work with custom reward functions?
Yes — reward shaping and custom environment design included in all packages.
Can you improve my existing RL model?
Yes — fine tuning, reward debugging, and stability optimization all available.
Will I receive documented code?
Yes — clean reproducible Python code with full comments in every package.
Is my project confidential?
Yes. Strict confidentiality maintained. NDA available on request.
Why choose you over other RL freelancers?
Published AI researcher with real robotics deployment experience — production systems, not demos.
