27 search results - page 3 / 6 » Compositionality for Markov Reward Chains with Fast Transiti... |
TSMC
2008
13 years 7 months ago
2008
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
AAAI
2011
12 years 7 months ago
2011
In environmental and natural resource planning domains actions are taken at a large number of locations over multiple time periods. These problems have enormous state and action s...
QEST
2005
IEEE
14 years 1 months ago
2005
IEEE
iLTL is a probabilistic temporal logic that can specify properties of multiple discrete time Markov chains (DTMCs). In this paper, we describe two related tools: MarkovEstimator a...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
We consider a multi-channel opportunistic communication system where the states of these channels evolve as independent and statistically identical Markov chains (the Gilbert-Elli...