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» Synthesis for Probabilistic Environments
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TROB
2002
127views more  TROB 2002»
15 years 4 months ago
Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation
We consider the problem of having a team of Unmanned Aerial Vehicles (UAV) and Unmanned Ground Vehicles (UGV) pursue a second team of evaders while concurrently building a map in a...
René Vidal, Omid Shakernia, H. Jin Kim, Dav...
ECRTS
2009
IEEE
15 years 2 months ago
Using Randomized Caches in Probabilistic Real-Time Systems
While hardware caches are generally effective at improving application performance, they greatly complicate performance prediction. Slight changes in memory layout or data access p...
Eduardo Quiñones, Emery D. Berger, Guillem ...
CDC
2010
IEEE
107views Control Systems» more  CDC 2010»
14 years 11 months ago
Probabilistic mutual localization in multi-agent systems from anonymous position measures
Abstract-- Recent research on multi-agent systems has produced a plethora of decentralized controllers that implicitly assume various degrees of agent localization. However, many p...
Antonio Franchi, Giuseppe Oriolo, Paolo Stegagno
ATAL
2006
Springer
15 years 8 months ago
Rule value reinforcement learning for cognitive agents
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Christopher Child, Kostas Stathis
144
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ICML
1994
IEEE
15 years 8 months ago
Markov Games as a Framework for Multi-Agent Reinforcement Learning
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Michael L. Littman