Cooperative multi-agent learning: The state of the art
Cooperative multi-agent systems (MAS) are ones in which several agents attempt, through
their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the …
their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the …
Emergence of cooperation: State of the art
G Nitschke - Artificial Life, 2005 - ieeexplore.ieee.org
This review presents a review of prevalent results within research pertaining to emergent
cooperation in biologically inspired artificial social systems. Results reviewed maintain …
cooperation in biologically inspired artificial social systems. Results reviewed maintain …
A novel cooperative hunting algorithm for inhomogeneous multiple autonomous underwater vehicles
M Chen, D Zhu - IEEE Access, 2018 - ieeexplore.ieee.org
Cooperative hunting of multi-autonomous underwater vehicle (AUV) is an important
research topic. Current studies concentrate on AUVs with the same speed abilities and …
research topic. Current studies concentrate on AUVs with the same speed abilities and …
A leader–follower formation control approach for target hunting by multiple autonomous underwater vehicle in three-dimensional underwater environments
X Cao, L Guo - International Journal of Advanced Robotic …, 2019 - journals.sagepub.com
As one of the challenging tasks of multiple autonomous underwater vehicles systems, the
realization of target hunting is the great significance. The multiple autonomous underwater …
realization of target hunting is the great significance. The multiple autonomous underwater …
Cooperative hunting by distributed mobile robots based on local interaction
Z Cao, M Tan, L Li, N Gu, S Wang - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
This paper proposes a distributed control approach called local interactions with local
coordinate systems (LILCS) to multirobot hunting tasks in unknown environments, where a …
coordinate systems (LILCS) to multirobot hunting tasks in unknown environments, where a …
Evolutionary behavior testing of commercial computer games
B Chan, J Denzinger, D Gates, K Loose… - Proceedings of the …, 2004 - ieeexplore.ieee.org
We present an approach to use evolutionary learning of behavior to improve testing of
commercial computer games. After identifying unwanted results or behavior of the game, we …
commercial computer games. After identifying unwanted results or behavior of the game, we …
一种多移动机器人协作围捕策略
苏治宝， 陆际联， 童亮 - 北京理工大学学报自然版, 2004 - journal.bit.edu.cn
提出一种在连续未知环境中实现多移动机器人协作围捕移动目标的整体方案.
围捕包括包围目标和靠近目标, 包围目标行为由强化学习算法实现. 用状态聚类减小状态空间 …
围捕包括包围目标和靠近目标, 包围目标行为由强化学习算法实现. 用状态聚类减小状态空间 …
A GA based combinatorial auction algorithm for multi-robot cooperative hunting
J Gong, J Qi, G Xiong, H Chen… - … intelligence and security …, 2007 - ieeexplore.ieee.org
In order to improve the hunting efficiency of multi-robot cooperative hunting in complicated
environment: multi-target and dynamic continues surrounding, a combinatorial auction …
environment: multi-target and dynamic continues surrounding, a combinatorial auction …
Evolutionary online learning of cooperative behavior with situation-action pairs
J Denzinger, M Kordt - Proceedings Fourth International …, 2000 - ieeexplore.ieee.org
We present a concept to use off-line learning approaches to achieve online learning of
cooperative behavior of agents and instantiate this concept for evolutionary learning with …
cooperative behavior of agents and instantiate this concept for evolutionary learning with …