27 search results - page 5 / 6 » Compositionality for Markov Reward Chains with Fast Transiti... |
ILP
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
QEST
2007
IEEE
14 years 1 months ago
2007
IEEE
We consider a model for interacting objects, where the evolution of each object is given by a finite state Markov chain, whose transition matrix depends on the present and the pa...
TCOM
2008
13 years 7 months ago
2008
The performance of multi-hop CSMA/CA networks has in most cases been evaluated via simulations, or analytically using a perfect collision channel model. Using such methods, one ca...
MPC
2010
Springer
14 years 12 days ago
2010
Springer
d Abstract) Jane Hillston Laboratory for Foundations of Computer Science, The University of Edinburgh, Scotland Quantitative Analysis Stochastic process algebras extend classical p...