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Sarmadzandi/README.md

Hi there ✨

I am a Computer Engineering graduate focusing on Deep Reinforcement Learning and its applications in Robotics and Decision-Making problems.

Core Research Interests and Expertise

  • Reinforcement Learning
  • Applied Machine Learning
  • Robotics
  • Statistical Analysis and Inference
  • Decision-Making Problems

📫 How to Reach Me:

Programming Languages

R Python Go LaTeX Shell Script

RL/ML/DL Tools

OpenAI Gym PyTorch TensorFlow NumPy Pandas SciPy Stable Baselines PettingZoo OpenCV

Tech Stack

Heroku Google Cloud Django MongoDB Unreal Engine AirSim

Version Control

Git

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  1. Reinforcement-Learning-Algorithms Reinforcement-Learning-Algorithms Public

    A comprehensive collection of Reinforcement Learning Algorithms implemented in Jupyter Notebook aimed to provide clear, practical, and well-documented code for foundational algorithms.

    Jupyter Notebook 1

  2. Deep-Reinforcement-Learning-based-Decision-Making-in-Autonomous-Driving-Tasks Deep-Reinforcement-Learning-based-Decision-Making-in-Autonomous-Driving-Tasks Public

    Deep Reinforcement Learning based Decision-Making in Autonomous Driving Tasks

    Jupyter Notebook 6 1

  3. Pick-and-Place-Operation-by-a-Two-Fingered-Robot-using-Faster-R-CNN Pick-and-Place-Operation-by-a-Two-Fingered-Robot-using-Faster-R-CNN Public

    Automated Pick-and-Place Operation by a Two-Fingered Robot using Faster R-CNN Object Detection Model.

    Jupyter Notebook 1

  4. Q-Learning-and-Deep-Q-Learning Q-Learning-and-Deep-Q-Learning Public

    Jupyter Notebook

  5. Statistical-Inference-Course-Project Statistical-Inference-Course-Project Public

    R