268 search results - page 42 / 54 » Solving multiagent assignment Markov decision processes |
100
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ATAL
2010
Springer
15 years 23 days ago
2010
Springer
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
126
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UAI
2000
15 years 1 months ago
2000
Stochastic games generalize Markov decision processes MDPs to a multiagent setting by allowing the state transitions to depend jointly on all player actions, and having rewards de...
68
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ICML
2007
IEEE
16 years 14 days ago
2007
IEEE
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
75
Voted
ICML
2008
IEEE
16 years 14 days ago
2008
IEEE
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
108
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ICN
2007
Springer
15 years 5 months ago
2007
Springer
— In this paper, we use the Markov Decision Process (MDP) technique to find the optimal code allocation policy in High-Speed Downlink Packet Access (HSDPA) networks. A discrete ...