268 search results - page 17 / 54 » Solving multiagent assignment Markov decision processes |
IDEAL
2003
Springer
14 years 2 months ago
2003
Springer
ERA is a multi-agent oriented method for solving constraint satisfaction problems [5]. In this method, agents make decisions based on the information obtained from their environmen...
HICSS
2000
IEEE
14 years 2 months ago
2000
IEEE
Most major airlines decide to take new strategies for the competition in the air cargo industry. They are concerned with assigning cargo over flights in creative ways. This paper ...
AAAI
2007
14 years 2 hour ago
2007
Partially Observable Markov Decision Processes (POMDPs) provide an appropriately rich model for agents operating under partial knowledge of the environment. Since finding an opti...
NIPS
2000
13 years 11 months ago
2000
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
ATAL
2008
Springer
13 years 11 months ago
2008
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...