The Complexity of Decentralized Control of Markov Decision Processes
Mathematics of Operations Research
The FlightGear flight simulator
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
A framework for sequential planning in multi-agent settings
Journal of Artificial Intelligence Research
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In an attempt to bridge the gap between the theoretical advances in multiagent decision making algorithms and their application in real world scenario, we present the Georgia testbed for autonomous control of vehicles (GaTAC). GaTAC provides a low-cost, open-source and flexible environment for realistically simulating and evaluating policies generated by multi-agent decision making algorithms in real world problem domains pertaining to control of autonomous uninhabbited aerial vehicles (AUAVs). We describe GaTAC in detail and shall demonstrate how GaTAC could be used to simulate an example AUAV problem. We expect GaTAC to facilitate the development and evaluation of scalable decision making algorithms with results that have immediate practical implications.