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» Economic Hierarchical Q-Learning
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ICML
1998
IEEE
14 years 6 months ago
The MAXQ Method for Hierarchical Reinforcement Learning
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
Thomas G. Dietterich
AAAI
2008
13 years 7 months ago
Economic Hierarchical Q-Learning
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
IPL
1998
80views more  IPL 1998»
13 years 5 months ago
The Economics of Large-Memory Computations
We propose, and justify, an economic theory to guide memory system design, operation, and analysis. Our theory treats memory random-access latency, and its cost per installed mega...
Clark D. Thomborson
ECRTS
2009
IEEE
13 years 3 months ago
Hierarchical Utilization Control for Real-Time and Resilient Power Grid
Blackouts in our daily life can be disastrous with enormous economic loss. Blackouts usually occur when appropriate corrective actions are not effectively taken for an initial con...
Ming Chen, Clinton Nolan, Xiaorui Wang, Sarina Adh...
AAAI
2008
13 years 7 months ago
The Impact of Vertical Specialization on Hierarchical Multi-Agent Systems
Hierarchies are one of the most common organizational structures observed in multi-agent systems. In this paper we study vertical specialization as a reason for hierarchical struc...
Steven Okamoto, Paul Scerri, Katia P. Sycara