14 search results - page 3 / 3 » On-Line Search for Solving Markov Decision Processes via Heu... |
GECCO
2005
Springer
14 years 1 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
14 years 1 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
14 years 1 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
14 years 1 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 ...