May 7, 2023 · This paper proposes an approach Multi-Agent Continual Coordination via Progressive Task Contextualization, dubbed MACPro.
Jun 19, 2024 · This article proposes an approach, multiagent continual coordination via progressive task contextualization (MACPro).
Abstract— Cooperative multiagent reinforcement learning. (MARL) has attracted significant attention and has the potential for many real-world applications.
Missing: Multi- agent
To solve this issue, we formalize continual coordination and learn a MAS in a stream of tasks via progressive task contextualization. agent n. Environment state.
Oct 22, 2024 · Toward tackling the mentioned issue, this article proposes an approach, multiagent continual coordination via progressive task contextualization ...
This repository contains implementation for Multi-agent Continual Coordination via Progressive Task Contextualization (MACPro). Environment Installation. Build ...
Multi-agent Continual Coordination via Progressive Task Contextualization. L Yuan, L Li, Z Zhang, F Zhang, C Guan, Y Yu. IEEE Transactions on Neural Networks ...
Towards tackling the mentioned issue, this paper proposes an approach Multi-Agent Continual Coordination via Progressive Task Contextualization, dubbed MACPro.
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary ... Multi-agent Continual Coordination via Progressive Task Contextualization ...
We formulate the continual coordination framework and propose MACPro to enable agents to continually coordinate with each other when the dynamic of the training ...