Michael A. Bevan

According to our database, Michael A. Bevan authored at least 7 papers between 2013 and 2022.

Collaborative distances:

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

2022

Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles.

Nikolaos Evangelou, Felix Dietrich, Juan M. Bello-Rivas, Alex Yeh, Rachel Stein, Michael A. Bevan, Ioannis G. Kevrekidis

CoRR, 2022

Hierarchical Planning with Deep Reinforcement Learning for 3D Navigation of Microrobots in Blood Vessels.

Yuguang Yang, Michael A. Bevan, Bo Li

Adv. Intell. Syst., 2022

2020

Efficient Navigation of Colloidal Robots in an Unknown Environment via Deep Reinforcement Learning.

Yuguang Yang, Michael A. Bevan, Bo Li

Adv. Intell. Syst., 2020

2019

Efficient Navigation of Active Particles in an Unseen Environment via Deep Reinforcement Learning.

Yuguang Yang, Michael A. Bevan, Bo Li

CoRR, 2019

2014

Optimal Design of a Colloidal Self-Assembly Process.

Yuzhen Xue, Daniel J. Beltran-Villegas, Xun Tang, Michael A. Bevan, Martha A. Grover

IEEE Trans. Control. Syst. Technol., 2014

Grain boundary control in colloidal self-assembly with dynamic programming.

Xun Tang, Yuguang Yang, Michael A. Bevan, Martha A. Grover

Proceedings of the American Control Conference, 2014

2013

MDP based optimal control for a colloidal self-assembly system.

Yuzhen Xue, Daniel J. Beltran-Villegas, Michael A. Bevan, Martha A. Grover

Proceedings of the American Control Conference, 2013