Sciweavers

802 search results - page 86 / 161
» Experts in a Markov Decision Process
Sort
View
AAAI
2012
11 years 11 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
IJCAI
1997
13 years 10 months ago
Aggregating Features and Matching Cases on Vague Linguistic Expressions
Decision making based on the comparison of multiple criteria of two or more alternatives, is the subject of intensive research. In many decision making situations, a single criter...
Alfons Schuster, Werner Dubitzky, Philippe Lopes, ...
TCOM
2008
128views more  TCOM 2008»
13 years 9 months ago
Cross-Layer Rate and Power Adaptation Strategies for IR-HARQ Systems over Fading Channels with Memory: A SMDP-Based Approach
Abstract--Incremental-redundancy hybrid automatic repeatrequest (IR-HARQ) schemes are proposed in several wireless standards for increased throughput-efficiency and greater reliabi...
Ashok K. Karmokar, Dejan V. Djonin, Vijay K. Bharg...
ICML
2004
IEEE
14 years 10 months ago
Bellman goes relational
Motivated by the interest in relational reinforcement learning, we introduce a novel relational Bellman update operator called ReBel. It employs a constraint logic programming lan...
Kristian Kersting, Martijn Van Otterlo, Luc De Rae...
ECBS
2009
IEEE
113views Hardware» more  ECBS 2009»
14 years 3 months ago
Modeling and Analysis of Probabilistic Timed Systems
Probabilistic models are useful for analyzing systems which operate under the presence of uncertainty. In this paper, we present a technique for verifying safety and liveness prop...
Abhishek Dubey, Derek Riley, Sherif Abdelwahed, Te...