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» Designing Effective Policies for Minimal Agents
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AIIDE
2008
13 years 11 months ago
A Cover-Based Approach to Multi-Agent Moving Target Pursuit
We explore the task of designing an efficient multi-agent system that is capable of capturing a single moving target, assuming that every agent knows the location of all agents on...
Alejandro Isaza, Jieshan Lu, Vadim Bulitko, Russel...
DAC
2007
ACM
14 years 9 months ago
Dynamic Power Management with Hybrid Power Sources
DPM (Dynamic Power Management) is an effective technique for reducing the energy consumption of embedded systems that is based on migrating to a low power state when possible. Whi...
Jianli Zhuo, Chaitali Chakrabarti, Kyungsoo Lee, N...
ATAL
2010
Springer
13 years 9 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
ATAL
2005
Springer
14 years 2 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
ATAL
2008
Springer
13 years 10 months ago
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
Thomas Gabel, Martin A. Riedmiller