Master's thesis on model-based intrinsically motivated reinforcement learning in robotic control
This repository contains programs using classical Machine Learning algorithms to Artificial Intelligence implemented from scratch and Solving traveling-salesman problem (TSP) using an goal-based AI agent.
AI Laboratory coursework, demonstrating the practical application of intelligent agent architectures in game environments. The implementations serve as educational resources for understanding the evolution from reactive systems to learning-based artificial intelligence.
Search strategies for problem-solving agents.
Goal based implementation of an intelligent agent using multiple search tree strategies.
A comparitive analysis of Goal-based and Utility-based agents for finding the best route based on the real-time status of the roads or routes.
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