Reinforcement Learning for Continuous Stochastic Control Problems

Munos, Rémi, Bourgine, Paul

Neural Information Processing Systems 

Here we sudy the continuous time, continuous state-space stochastic case, which covers a wide variety of control problems including target, viability, optimization problems (see [FS93], [KP95])}or which a formalism is the following.

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