14 search results - page 3 / 3 » On-Line Search for Solving Markov Decision Processes via Heu... |
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
LION
2007
Springer
13 years 11 months ago
2007
Springer
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
Optimal resource scheduling in multiagent systems is a computationally challenging task, particularly when the values of resources are not additive. We consider the combinatorial ...