PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems

Reinforcement Learning applied to Autonomous Networking to issue scheduling and decision to drones.

Policy Iteration for Continuous Dynamics

Foundations Of Intelligent Learning Agents (FILA) Assignments

Q-Learning from scratch in Python

Dynamic Optimization project working on an economic model

CSCI-561 AI Assignments.

This project implements the classic Snake game with a reinforcement learning agent that learns how to play using a Replay Q-Network (RQN) and Linear Q-Learning. The agent is trained through trial and error by receiving rewards for beneficial actions and penalties for harmful actions

Using reinforcement learning to train a smartcab how to drive

WAP Bellman-ford Algorithm python program

Design and Implementation of Pac-Man Strategies with Embedded Markov Decision Process in a Dynamic, Non-Deterministic, Fully Observable Environment

Asteroids evasion using OpenAI's gym Reinforcement Learning (RL) package - M.Sc. Thesis in Computer Science, Ben Gurion University Ben Gurion University of the Negev, Israe

Artificial Intelligence course, Computer Science M.Sc., Ben Gurion University of the Negev, 2021

My Grid World Application. Presented in class on April 7th, 2023.

This project aims to explore the basic concepts of Reinforcement Learning using the FrozenLake environment from the OpenAI Gym library.

Implementing the Markov Decision process on a 2-D world.

Reinforcement Learning을 이용한 Pac-Man 최적 경로 구하기

Simulation of Routing Algorithms used in communication networks in python

Game Tic-Tac-Toe with Q_learning algorithm

Q-Value (Reinforcement Learning) on Grid World