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Collaborating Authors

 Bourgine, Paul

Reinforcement Learning for Continuous Stochastic Control Problems

Neural Information Processing Systems

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

Reinforcement Learning for Continuous Stochastic Control Problems

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.