67 search results - page 11 / 14 » Limits of Multi-Discounted Markov Decision Processes |
AAAI
2008
13 years 10 months ago
2008
Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...
ENTCS
2008
13 years 7 months ago
2008
ion in PRISM1 Mark Kattenbelt Marta Kwiatkowska Gethin Norman David Parker Oxford University Computing Laboratory, Oxford, UK Modelling and verification of systems such as communi...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
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...
SIGECOM
2009
ACM
14 years 2 months ago
2009
ACM
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...