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The repository contains codes for RL (e.g., Q-Learning, Monte Carlo, …) in the form of Python files.

Jupyter Notebook 100.00%
multi-armed-bandit greedy-policy reinforcement-learning e-greedy-policy upper-confidence-bounds-policy stochastic-gradient-ascent-policy q-learning dynamic-programming monte-carlo-methods iterative-policy-evaluation

reinforcement-learning's Introduction

Hi, I'm Reza Saadatyar 👋

💫 About Me:
I have about five years of professional programming experience with different programming languages, and I'm particularly interested in MATLAB, Python, artificial intelligence, and teaching programming to others.

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Open Soruce & Projects:

Topic MATLAB Python Jupyter Notebook
Machine Learning ---
Deep Learning ---
Reinforcement Learning ---
Time Series Analysis ---
Spike Sorting Techniques ---
EEG phase lag index --- ---
Epileptic Seizure Detection Based on EEG Signals --- ---
Motor imagery based EEG signal processing ---
SSVEP based EEG signal processing --- ---
Prediction of force from EMG signal ---
Hammerstein ARMAX model --- ---
PID adaptive control for knee angle prediction --- ---
PID and Fuzzy Logic Controller for Rehabilitation --- ---
Function in Python --- ---

🌐 Connect with me:


💻 Languages and Tools:

Google Cloud Anaconda Qt PyTorch Plotly Pandas NumPy Keras scikit-learn SciPy TensorFlow Notion Python Go R C Git C++ LaTeX Markdown MATLAB LabView


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