Multi-Objective Reinforcement Learning (MORL) is an emerging field that extends the conventional reinforcement learning paradigm by enabling agents to optimise multiple conflicting objectives ...

Building on the idea of placing an agent into an environment and letting it figure out how to act optimally, not all systems consist of one agent. Sometimes it is necessary to place multiple agents in ...

What happens when multiple AI agents work together to solve complex problems? In this video, we dive into multi-agent systems ...

In this paper we revise Reinforcement Learning and adaptiveness in Multi-Agent Systems from an Evolutionary Game Theoretic perspective. More precisely we show there is a triangular relation between ...