The research presented in this Technical Report investigates how large language models (LLMs), through their extensive training and transcend linguistic capabilities, emerge as reservoirs of a vast array of human experiences, behaviours, and emotions. Building upon prior work of the JRC on...

This paper is motivated by the global housing affordability crisis. Housing shortages in monetary economies are defined by affordability, which is the balance between money (income and borrowing) to access housing and the price (purchase prices and rents) that provides access. This balance is...

In this paper, we describe the Factored Value MCTS Hybrid Cost-Max-Plus algorithm, a collection of decision-making algorithms (centralized, decentralized, and hybrid) for a multi-agent system in a collaborative setting that considers action costs. Our proposed algorithm is made up of two steps....

Path planning plays a crucial role in the navigation of mobile robots. Among the various path planning techniques, Q-learning (QL) has gained popularity as a reinforcement learning approach that exhibits the ability to learn without significant prior knowledge of the environment. However,...