Daniel S. Brown

30 papers and 174 indexed citations i.

Daniel S. Brown has authored 30 papers that have received a total of 174 indexed citations. This includes 14 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Biomedical Engineering. The topics of these papers are Reinforcement Learning in Robotics (10 papers), Robot Manipulation and Learning (7 papers) and Distributed Multi-Agent Coordination and Control (6 papers). Daniel S. Brown is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Robot Manipulation and Learning (7 papers) and Distributed Multi-Agent Coordination and Control (6 papers) and collaborates with scholars based in United States and Germany. Daniel S. Brown's co-authors include Michael A. Goodrich, Ken Goldberg, Anca D. Dragan, Ashwin Balakrishna and Scott Niekum and has published in prestigious journals such as Nature, Journal of Biomechanics and Computational Intelligence