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We consider the linear programming approach to approximate dynamic programming. In the general case of linear combination of features, we prove the existence of a solution which can be used to generate a policy with performance proportional to the strength of the architecture. In the special case of features defined on a partition of the state space, we give a simpler method to find the solution,...
Coordinated multi-vehicle autonomous systems can provide incredible functionality, but off-nominal conditions and degraded system components can render this capability ineffective. This paper presents techniques to improve mission-level functional reliability through better system self-awareness and adaptive mission planning. In particular, we extend the traditional definition of health management,...
We consider control systems consisting of teams of agents operating in stochastic environments and communicating through a network with dynamic topology. An optimal centralized control policy can be derived from the Q-function associated with the problem. However, computing and storing the Q-function is intractable for systems of practical scale, and having a centralized policy may lead to prohibitive...
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