Coordinating Multi-Agent Navigation by Learning Communication
Coordinating Multi-Agent Navigation by Learning Communication
复制标题
通过学习通信来协调多代理导航
DOI：
10.1145/3340261
复制
发表时间：
2019
影响因子：
1.3
通讯作者：
Guy, Stephen J.
中科院分区：
文献类型：
--
作者：
Hildreth, Dalton;Guy, Stephen J.
这项工作提出了一种分散的多智能体导航方法，允许智能体通过本地通信协调它们的运动。我们的方法允许智能体通过优化过程发展自己的应急沟通语言，同时确定智能体对其空间观察的回应以及智能体如何解释来自他人的沟通以更新其动作。我们将我们的通信方法与TTC-Forces人群模拟算法（一种最近的高性能预期碰撞技术）一起应用，并显示出智能体的拥塞和瓶颈显著减少，特别是在智能体受益于密切协调的情况下。除了更快地达到目标之外，使用我们的方法的代理还表现出协调的行为，包括问候、群集、跟随和分组。此外，我们观察到，当应用于不同的场景时，针对一个场景优化的通信策略通常仍能在代理之间提供时间效率高的协调运动。这表明智能体正在学习通过他们的沟通“语言”来概括协调策略。
This work presents a decentralized multi-agent navigation approach that allows agents to coordinate their motion through local communication. Our approach allows agents to develop their own emergent language of communication through an optimization process that simultaneously determines what agents say in response to their spatial observations and how agents interpret communication from others to update their motion. We apply our communication approach together with the TTC-Forces crowd simulation algorithm (a recent, high performing, anticipatory collision technique) and show a significant decrease in congestion and bottle-necking of agents, especially in scenarios where agents benefit from close coordination. In addition to reaching their goals faster, agents using our approach show coordinated behaviors including greeting, flocking, following, and grouping. Furthermore, we observe that communication strategies optimized for one scenario often continue to provide time-efficient, coordinated motion between agents when applied to different scenarios. This suggests that the agents are learning to generalize strategies for coordination through their communication "language".
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影响因子：
9.2
作者：
Alonso-Mora, Javier;Breitenmoser, Andreas;Beardsley, Paul
通讯作者：
Beardsley, Paul
DOI：
--
发表时间：
2010
期刊：
International Conference on Control, Automation and Systems
影响因子：
--
作者：
S. Hettiarachchi
通讯作者：
S. Hettiarachchi
ALAN：多智能体导航的自适应学习
影响因子：
3.5
作者：
Godoy, Julio;Chen, Tiannan;Guy, Stephen J.;Karamouzas, Ioannis;Gini, Maria
通讯作者：
Gini, Maria
DOI：
--
发表时间：
2019
期刊：
Game AI Pro 360
影响因子：
--
作者：
S. Guy;Ioannis Karamouzas
通讯作者：
Ioannis Karamouzas