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ATAL
2007
Springer
14 years 1 months ago
Advice taking in multiagent reinforcement learning
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
Michael Rovatsos, Alexandros Belesiotis
BC
1998
109views more  BC 1998»
13 years 7 months ago
Learning and stabilization of altruistic behaviors in multi-agent systems by reciprocity
Optimization of performance in collective systems often requires altruism. The emergence and stabilization of altruistic behaviors are dicult to achieve because the agents incur ...
Javier Zamora, José del R. Millán, A...
ATAL
2008
Springer
13 years 9 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
NIPS
2004
13 years 9 months ago
Multi-agent Cooperation in Diverse Population Games
We consider multi-agent systems whose agents compete for resources by striving to be in the minority group. The agents adapt to the environment by reinforcement learning of the pr...
K. Y. Michael Wong, S. W. Lim, Zhuo Gao
IJSNET
2010
317views more  IJSNET 2010»
13 years 2 months ago
MRL-CC: a novel cooperative communication protocol for QoS provisioning in wireless sensor networks
: Cooperative communications have been demonstrated to be effective in combating the multiple fading effects in wireless networks, and improving the network performance in terms of...
Xuedong Liang, Min Chen, Yang Xiao, Ilangko Balasi...