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ATAL
2008
Springer
13 years 9 months ago
Expediting RL by using graphical structures
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
Peng Dai, Alexander L. Strehl, Judy Goldsmith
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
14 years 1 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
OOPSLA
2010
Springer
13 years 5 months ago
Parallel inclusion-based points-to analysis
Inclusion-based points-to analysis provides a good trade-off between precision of results and speed of analysis, and it has been incorporated into several production compilers inc...
Mario Méndez-Lojo, Augustine Mathew, Keshav...
AIPS
2008
13 years 9 months ago
Exact Dynamic Programming for Decentralized POMDPs with Lossless Policy Compression
High dimensionality of belief space in DEC-POMDPs is one of the major causes that makes the optimal joint policy computation intractable. The belief state for a given agent is a p...
Abdeslam Boularias, Brahim Chaib-draa
VTC
2007
IEEE
138views Communications» more  VTC 2007»
14 years 1 months ago
Performance Evaluation of IEEE 802.11-based WLANs in Vehicular Scenarios
—Communication between cars can be exploited for various applications. Security enhancements as well as interactive games played by occupants of different cars are only two examp...
Matthias Wellens, Burkhard Westphal, Petri Mä...