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ICML
2001
IEEE
16 years 7 months ago
Continuous-Time Hierarchical Reinforcement Learning
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...
Mohammad Ghavamzadeh, Sridhar Mahadevan
AAAI
2008
15 years 9 months ago
Interaction Structure and Dimensionality Reduction in Decentralized MDPs
Decentralized Markov Decision Processes are a powerful general model of decentralized, cooperative multi-agent problem solving. The high complexity of the general problem leads to...
Martin Allen, Marek Petrik, Shlomo Zilberstein
ANSS
2002
IEEE
15 years 11 months ago
Simulation of a Vehicle Traffic Control Network Using a Fuzzy Classifier System
A Complex Adaptive System (CAS) is a network of communicating, intelligent agents where each agent adapts its behavior in order to collaborate with other agents to achieve overall...
John R. Clymer
WSC
2008
15 years 9 months ago
Using situational simulations to collect and analyze dynamic construction management decision-making data
In this paper we lay the foundations for studying decisionmaking in complex dynamic construction management scenarios using situational simulations as experimental testbeds. We dr...
Matt Watkins, Amlan Mukherjee, Nilufer Onder
SIGMOD
2012
ACM
210views Database» more  SIGMOD 2012»
13 years 9 months ago
Interactive regret minimization
We study the notion of regret ratio proposed in [19] to deal with multi-criteria decision making in database systems. The regret minimization query proposed in [19] was shown to h...
Danupon Nanongkai, Ashwin Lall, Atish Das Sarma, K...