Austin Small

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 6

Top Topics

Markov Decision Process

Reproducing Kernel Hilbert Space

Reproducing Kernel

Top Venues

IEEE Trans. Autom. Control.

Publications

Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro
Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. IEEE Trans. Autom. Control. 66 (8) (2021)
Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro
Policy Improvement Directions for Reinforcement Learning in Reproducing Kernel Hilbert Spaces. CDC (2019)
Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro
Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. CoRR (2018)
Zhengyi Luo, Austin Small, Liam Dugan, Stephen Lane
Cloud Chaser: Real Time Deep Learning Computer Vision on Low Computing Power Devices. CoRR (2018)
Zhengyi Luo, Austin Small, Liam Dugan, Stephen Lane
Cloud Chaser: real time deep learning computer vision on low computing power devices. ICMV (2018)
Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro
Learning Policies for Markov Decision Processes in Continuous Spaces. CDC (2018)