Sciweavers

ATAL
2010
Springer
14 years 22 days ago
Risk-sensitive planning in partially observable environments
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
Janusz Marecki, Pradeep Varakantham
ATAL
2010
Springer
14 years 22 days ago
Scalable mechanism design for the procurement of services with uncertain durations
In this paper, we study a service procurement problem with uncertainty as to whether service providers are capable of completing a given task within a specified deadline. This typ...
Enrico Gerding, Sebastian Stein, Kate Larson, Alex...
ATAL
2010
Springer
14 years 22 days ago
Decision rules and decision markets
We explore settings where a principal must make a decision about which action to take to achieve a desired outcome. The principal elicits the probability of achieving the outcome ...
Abraham Othman, Tuomas Sandholm
ATAL
2010
Springer
14 years 22 days ago
Action discovery for reinforcement learning
Bikramjit Banerjee, Landon Kraemer
ATAL
2010
Springer
14 years 22 days ago
Resource-bounded alternating-time temporal logic
Many problems in AI and multi-agent systems research are most naturally formulated in terms of the abilities of a coalition of agents. There exist several excellent logical tools ...
Natasha Alechina, Brian Logan, Nguyen Hoang Nga, A...
ATAL
2010
Springer
14 years 22 days ago
A graph-theoretic approach to protect static and moving targets from adversaries
The static asset protection problem (SAP) in a road network is that of allocating resources to protect vertices, given any possible behavior by an adversary determined to attack t...
John P. Dickerson, Gerardo I. Simari, V. S. Subrah...
ATAL
2010
Springer
14 years 22 days ago
A distributed algorithm for anytime coalition structure generation
A major research challenge in multi-agent systems is the problem of partitioning a set of agents into mutually disjoint coalitions, such that the overall performance of the system...
Tomasz P. Michalak, Jacek Sroka, Talal Rahwan, Mic...
ATAL
2010
Springer
14 years 22 days ago
Improving DPOP with function filtering
DPOP is an algorithm for distributed constraint optimization which has, as main drawback, the exponential size of some of its messages. Recently, some algorithms for distributed c...
Ismel Brito, Pedro Meseguer