771 search results - page 50 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
112
click to vote
CDC
2008
IEEE
15 years 8 months ago
2008
IEEE
—We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooper...
ATAL
2008
Springer
15 years 3 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
111
click to vote
NIPS
2001
15 years 3 months ago
2001
We present a principled and efficient planning algorithm for cooperative multiagent dynamic systems. A striking feature of our method is that the coordination and communication be...
114
Voted
IJCAI
2003
15 years 3 months ago
2003
An agent with limited consumable execution resources needs policies that attempt to achieve good performance while respecting these limitations. Otherwise, an agent (such as a pla...
134
click to vote
GLOBECOM
2010
IEEE
14 years 12 months ago
2010
IEEE
In smart grid, a home appliance can adjust its power consumption level according to the realtime power price obtained from communication channels. Most studies on smart grid do not...