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

Sometimes it is necessary to place multiple agents in an environment and let them act and explore to find an optimal combined policy. This introduces the topic of multi-agent reinforcement learning ...

The "reward-is-enough" hypothesis suggests that reinforcement learning alone could lead to AGI.

Creating multi AI agent apps The IndyDevDan YouTube channel has created a fantastic tutorial showing how you can create a multi-AI Agent system using AutoGen at its core.

Google released its first publicly available "multi-agent" AI system, which uses more computational resources, but produces better answers.