Adaptive control of constrained Markov chains: criteria and policies
Annals of Operations Research
Economic models for allocating resources in computer systems
Market-based control
Solving very large weakly coupled Markov decision processes
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Computationally Manageable Combinational Auctions
Management Science
How to dynamically merge Markov decision processes
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Bidding and allocation in combinatorial auctions
Proceedings of the 2nd ACM conference on Electronic commerce
Algorithm for optimal winner determination in combinatorial auctions
Artificial Intelligence
Introduction to Linear Optimization
Introduction to Linear Optimization
Distributed algorithmic mechanism design: recent results and future directions
DIALM '02 Proceedings of the 6th international workshop on Discrete algorithms and methods for mobile computing and communications
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
An Algorithm for Optimal Winner Determination in Combinatorial Auctions
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Solving concisely expressed combinatorial auction problems
Eighteenth national conference on Artificial intelligence
Iterative combinatorial auctions: achieving economic and computational efficiency
Iterative combinatorial auctions: achieving economic and computational efficiency
Combinatorial Auctions: A Survey
INFORMS Journal on Computing
Planning under uncertainty in complex structured environments
Planning under uncertainty in complex structured environments
Distributed Implementations of Vickrey-Clarke-Groves Mechanisms
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Automated resource-driven mission phasing techniques for constrained agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Resource allocation among agents with preferences induced by factored MDPs
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Integrated resource allocation and planning in stochastic multiagent environments
Integrated resource allocation and planning in stochastic multiagent environments
Achieving budget-balance with Vickrey-based payment schemes in exchanges
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Bidding languages for combinatorial auctions
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Planning with continuous resources in stochastic domains
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Exploiting structure in policy construction
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
On the complexity of solving Markov decision problems
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Sequential resource allocation in multiagent systems with uncertainties
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Trajectories of goods in distributed allocation
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Planning for Coordination and Coordination for Planning
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Adaptive stochastic resource control: a machine learning approach
Journal of Artificial Intelligence Research
Resource-driven mission-phasing techniques for constrained agents in stochastic environments
Journal of Artificial Intelligence Research
People, sensors, decisions: Customizable and adaptive technologies for assistance in healthcare
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
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Allocating scarce resources among agents to maximize global utility is, in general, computationally challenging. We focus on problems where resources enable agents to execute actions in stochastic environments, modeled as Markov decision processes (MDPs), such that the value of a resource bundle is defined as the expected value of the optimal MDP policy realizable given these resources. We present an algorithm that simultaneously solves the resource-allocation and the policy-optimization problems. This allows us to avoid explicitly representing utilities over exponentially many resource bundles, leading to drastic (often exponential) reductions in computational complexity. We then use this algorithm in the context of self-interested agents to design a combinatorial auction for allocating resources. We empirically demonstrate the effectiveness of our approach by showing that it can, in minutes, optimally solve problems for which a straightforward combinatorial resource-allocation technique would require the agents to enumerate up to 2100 resource bundles and the auctioneer to solve an NP-complete problem with an input of that size.