575 search results - page 25 / 115 » Reinforcement Learning State Estimator |
IJCAI
2007
14 years 11 months ago
2007
The options framework provides a method for reinforcement learning agents to build new high-level skills. However, since options are usually learned in the same state space as the...
CLA
2007
14 years 11 months ago
2007
The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any ...
AI
2006
Springer
15 years 1 months ago
2006
Springer
In the context of probabilistic verification, we provide a new notion of trace-equivalence divergence between pairs of Labelled Markov processes. This divergence corresponds to the...
ECAI
2008
Springer
14 years 11 months ago
2008
Springer
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...