ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains
ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains
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联系：在未知、确定性领域的时间紧迫的协作任务期间决定进行通信
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发表时间：
2016
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通讯作者：
J. Shah
中科院分区：
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作者：
Vaibhav Unhelkar;J. Shah
代理之间的通信有可能提高协作任务的团队绩效。然而，在大多数领域中，通信并不是免费的，这就要求代理对共享信息的成本和收益进行推理。在这项工作中，我们开发了一个在线的，分散的通信策略，ConTaCT，它使代理能够在未知的，确定性的环境中决定是否在时间关键的协作任务中进行通信。我们的方法是由实际应用驱动的，包括协调灾难响应和搜救团队。这些设置激发了一种模型结构，这种结构明确地表示世界模型最初是未知的，但本质上是确定的，并且减少了对行动结果的不确定性的强调。在仿真实验中，将ConTaCT与其他多智能体通信策略进行了比较，结果表明ConTaCT在大幅度降低通信开销的同时实现了相当的任务性能。
Communication between agents has the potential to improve team performance of collaborative tasks. However, communication is not free in most domains, requiring agents to reason about the costs and benefits of sharing information. In this work, we develop an online, decentralized communication policy, ConTaCT, that enables agents to decide whether or not to communicate during time-critical collaborative tasks in unknown, deterministic environments. Our approach is motivated by real-world applications, including the coordination of disaster response and search and rescue teams. These settings motivate a model structure that explicitly represents the world model as initially unknown but deterministic in nature, and that de-emphasizes uncertainty about action outcomes. Simulated experiments are conducted in which ConTaCT is compared to other multi-agent communication policies, and results indicate that ConTaCT achieves comparable task performance while substantially reducing communication overhead.