Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Abstract: Collaborative tasks are important in multi-agent systems. Multi-agent reinforcement learning is a commonly used technique ... agents to simultaneously perform specific actions. For example, ...

This complexity underscores the importance of researching effective sensor tasking methods, a challenge ideally suited for Reinforcement Learning ... multi-target scenarios.To enable the effective use ...

Given the recent advances in single-agent reinforcement learning, multi-agent reinforcement learning (RL) has gained tremendous interest in recent years. Most research studies apply a fully ...

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.