4345 search results - page 344 / 869 » Relational Reinforcement Learning |
149
click to vote
NN
2010
Springer
15 years 3 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...
211
click to vote
PKDD
2010
Springer
15 years 3 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...
181
click to vote
GLOBECOM
2009
IEEE
15 years 2 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 ...
145
click to vote
COGSR
2011
15 years 3 days 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...
124
click to vote
JAIR
2011
15 years 2 days ago
2011
This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...