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» Limits of Multi-Discounted Markov Decision Processes
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IJCAI
2003
13 years 9 months ago
Approximating Optimal Policies for Agents with Limited Execution Resources
An agent with limited consumable execution resources needs policies that attempt to achieve good performance while respecting these limitations. Otherwise, an agent (such as a pla...
Dmitri A. Dolgov, Edmund H. Durfee
AIPS
2003
13 years 9 months ago
Synthesis of Hierarchical Finite-State Controllers for POMDPs
We develop a hierarchical approach to planning for partially observable Markov decision processes (POMDPs) in which a policy is represented as a hierarchical finite-state control...
Eric A. Hansen, Rong Zhou
ISSS
1999
IEEE
121views Hardware» more  ISSS 1999»
13 years 12 months ago
Event-Driven Power Management of Portable Systems
The policy optimization problem for dynamic power management has received considerable attention in the recent past. We formulate policy optimization as a constrained optimization...
Tajana Simunic, Giovanni De Micheli, Luca Benini
ICAI
2009
13 years 5 months ago
The Utility of Affect in the Selection of Actions and Goals Under Real-World Constraints
We present a novel affective goal selection mechanism for decision-making in agents with limited computational resources (e.g., such as robots operating under real-time constraint...
Paul W. Schermerhorn, Matthias Scheutz
JAIR
2008
145views more  JAIR 2008»
13 years 7 months ago
Communication-Based Decomposition Mechanisms for Decentralized MDPs
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
Claudia V. Goldman, Shlomo Zilberstein