1 citations · 1 across the 8 of their papers we have counts for
3 papers · 1 filter
Hopf bifurcations in a reaction-diffusion model with a general advection term and delay effect
Jingxiao Song, Chengwei Ren, Shaofen Zou
This paper investigates a class of reaction-diffusion population models defined on a bounded domain, characterized by a general time-delayed per capita growth rate and a general ad…
Linear Dynamics meets Linear MDPs: Closed-Form Optimal Policies via Reinforcement Learning
Abed AlRahman Al Makdah, Oliver Kosut, Lalitha Sankar +1
Many applications -- including power systems, robotics, and economics -- involve a dynamical system interacting with a stochastic and hard-to-model environment. We adopt a reinforc…
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
Zilong Deng, Simon Khan, Shaofeng Zou
In this work, we study the sample complexity problem of risk-sensitive Reinforcement Learning (RL) with a generative model, where we aim to maximize the Conditional Value at Risk (…