4544 search results - page 285 / 909 » Reinforcement Learning with Time |
137
Voted
NN
2010
Springer
15 years 2 months ago
2010
Springer
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
156
Voted
IAT
2010
IEEE
15 years 1 months ago
2010
IEEE
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
198
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PKDD
2010
Springer
15 years 1 months ago
2010
Springer
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
163
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GLOBECOM
2009
IEEE
15 years 1 months ago
2009
IEEE
Abstract--Cooperative communications have been demonstrated to be effective in combating the multiple fading effects in wireless networks, and improving the network performance in ...
135
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COGSR
2011
14 years 11 months ago
2011
In bandit problems, a decision-maker must choose between a set of alternatives, each of which has a fixed but unknown rate of reward, to maximize their total number of rewards ov...