Creation of grid world environment through pygame package and optimizing the motion of agent through modified q-learning process. Video can be found here: https://www.youtube.com/watch?v=-nXH8k9gRLM

The programming assignments of the course Introduction to Artificial Intelligence in Ben Gurion University, Israel

This project is a C# implementation of the popular game "Frozen Lake" and an AI agent that can play the game using the Q-learning algorithm. The game consists of a grid of tiles, some of which are safe to walk on, while others will cause the player to receive damage.

Repository for the final project for Procesos Estocásticos. S1.63.10

Coastal infrastructure adaptation against climate change effects is often addressed with policies that ignore future climate uncertainties. This work develops a climate change adaptation framework, offering optimal solutions that address model uncertainty, social costs of carbon, and a variety of adaptation actions.

Markov Chains are solved using R programming

Computing optimal strategy for the dice game 421

Program solves an MDP using value iteration

Modelling of complex deterioration models and failure criteria in DBNs and POMDPs

Fourth assignment for Machine Learning course @USI19/20.

Implemented a new variation of Pac-Man using AI

CS520 AI Projects

A repo for implementing reinforcement learning algorithms

Implementation of "Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making”(ICML 2020) in Python

CS420: Reinforcement Learning

IASA (Artificial Intelligence of Autonomous Systems) class projects and resources of LEIM course at ISEL

University of Tehran-Reinforcement Learning Fall 2022

Project for developing autonomous agents with AI, using both reactive and deliberative architectures

Implementation of a basic Q Learning algorithm in the OpenAI's gym environment

AI project for constructing safe and efficient self-driving car with A+ grade