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eess.SY2023
Abstracting Linear Stochastic Systems via Knowledge Filtering
Maico Hendrikus Wilhelmus Engelaar, Licio Romao, Yulong Gao +3
In this paper, we propose a new model reduction technique for linear stochastic systems that builds upon knowledge filtering and utilizes optimal Kalman filtering techniques. This…
math.OC2023★ 2 cited
Policy Evaluation in Distributional LQR
Zifan Wang, Yulong Gao, Siyi Wang +3
Distributional reinforcement learning (DRL) enhances the understanding of the effects of the randomness in the environment by letting agents learn the distribution of a random retu…