Jan 30, 2017 · In this paper, we consider the problem of how to design the optimal control policy for point processes, such that the stochastic system driven by the point ...

In this paper, we consider the prob- lem of how to design the optimal control policy for point processes, such that the stochastic sys- tem driven by the point ...

Variational Policy for Guiding Point Processes. A. Derivations of the Optimal Measure. The problem of finding the optimal measure is as follows: min. Q EQ[S ...

In this paper, we consider the prob- lem of how to design the optimal control policy for point processes, such that the stochastic sys- tem driven by the point ...

Temporal point processes have been widely applied to model event sequence data generated by online users. In this paper, we consider the problem of how to ...

This paper exploits the key insight to view the stochastic optimal control problem from the perspective of optimal measure and variational inference, ...

Jul 10, 2018 · Variational Policy for Guiding Point Processes (RL/Control); A Stochastic Differential Equation Framework for Guiding Online User Activities ...

Variational Policy for Guiding Point Processes, 2017. Cheshire: An Online Algorithm for Activity Maximization in Social Networks, 2017. Learning and Forecasting ...

Our evaluation shows that this algorithm outperforms prior variational methods and prior methods that use trajectory optimization to guide policy search.

Variational policy for guiding point processes. Y Wang, G Williams, E Theodorou, L Song. International Conference on Machine Learning, 3684-3693, 2017. 31, 2017.