Austin Small

According to our database, Austin Small authored at least 4 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces.

Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro

IEEE Trans. Autom. Control., 2021

2019

Policy Improvement Directions for Reinforcement Learning in Reproducing Kernel Hilbert Spaces.

Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Cloud Chaser: real time deep learning computer vision on low computing power devices.

Zhengyi Luo, Austin Small, Liam Dugan, Stephen Lane

Proceedings of the Eleventh International Conference on Machine Vision, 2018

Learning Policies for Markov Decision Processes in Continuous Spaces.

Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro

Proceedings of the 57th IEEE Conference on Decision and Control, 2018