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ATAL
2008
Springer
13 years 10 months ago
Interaction-driven Markov games for decentralized multiagent planning under uncertainty
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...
Matthijs T. J. Spaan, Francisco S. Melo
IROS
2006
IEEE
202views Robotics» more  IROS 2006»
14 years 2 months ago
Topological characterization of mobile robot behavior
— We propose to classify the behaviors of a mobile robot thanks to topological methods as an alternative to metric ones. To do so, we adapt an analysis scheme from Physics of non...
Aurélien Hazan, Frédéric Dave...
STOC
1997
ACM
125views Algorithms» more  STOC 1997»
14 years 23 days ago
An Interruptible Algorithm for Perfect Sampling via Markov Chains
For a large class of examples arising in statistical physics known as attractive spin systems (e.g., the Ising model), one seeks to sample from a probability distribution π on an...
James Allen Fill
ICML
1999
IEEE
14 years 9 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
MPC
2010
Springer
181views Mathematics» more  MPC 2010»
14 years 1 months ago
Process Algebras for Collective Dynamics
d Abstract) Jane Hillston Laboratory for Foundations of Computer Science, The University of Edinburgh, Scotland Quantitative Analysis Stochastic process algebras extend classical p...
Jane Hillston