Sciweavers

802 search results - page 131 / 161
» Experts in a Markov Decision Process
Sort
View
ICML
2006
IEEE
14 years 8 months ago
Using inaccurate models in reinforcement learning
In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...
Pieter Abbeel, Morgan Quigley, Andrew Y. Ng
ICML
2006
IEEE
14 years 8 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
ICML
2003
IEEE
14 years 8 months ago
Planning in the Presence of Cost Functions Controlled by an Adversary
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum
ICML
2002
IEEE
14 years 8 months ago
Pruning Improves Heuristic Search for Cost-Sensitive Learning
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...
Valentina Bayer Zubek, Thomas G. Dietterich
MOBIHOC
2008
ACM
14 years 7 months ago
Routing in a cyclic mobispace
A key challenge of routing in delay tolerant networks (DTNs) is to find routes that have high delivery rates and low endto-end delays. When oracles are not available for future co...
Cong Liu, Jie Wu