Daniel S. Brown
TitleCited byYear
Limited bandwidth recognition of collective behaviors in bio-inspired swarms
DS Brown, MA Goodrich
Proceedings of the 2014 international conference on Autonomous agents and …, 2014
242014
Supporting human interaction with robust robot swarms
S Kerman, D Brown, MA Goodrich
2012 5th International Symposium on Resilient Control Systems, 197-202, 2012
232012
Human-swarm interactions based on managing attractors
DS Brown, SC Kerman, MA Goodrich
Proceedings of the 2014 ACM/IEEE international conference on Human-robot …, 2014
212014
Shaping couzin-like torus swarms through coordinated mediation
SY Jung, DS Brown, MA Goodrich
2013 IEEE International Conference on Systems, Man, and Cybernetics, 1834-1839, 2013
142013
Two Invariants of Human-Swarm Interaction
DS Brown, MA Goodrich, SY Jung, S Kerman
Journal of Human-Robot Interaction 1 (1), 78-95, 2016
132016
Risk-aware active inverse reinforcement learning
DS Brown, Y Cui, S Niekum
arXiv preprint arXiv:1901.02161, 2019
102019
Discovery and Exploration of Novel Swarm Behaviors given Limited Robot Capabilities
DS Brown, R Turner, O Hennigh, S Loscalzo
13th International Symposium on Distributed Autonomous Robotic Systems, 2016
102016
Evolving and Controlling Perimeter, Rendezvous, and Foraging Behaviors in a Computation-Free Robot Swarm
M Johnson, DS Brown
9th EAI International Conference on Bio-inspired Information and …, 2015
102015
Machine teaching for inverse reinforcement learning: Algorithms and applications
DS Brown, S Niekum
Proceedings of the AAAI Conference on Artificial Intelligence 33, 7749-7758, 2019
92019
Classifying swarm behavior via compressive subspace learning
M Berger, LM Seversky, DS Brown
2016 IEEE International Conference on Robotics and Automation (ICRA), 5328-5335, 2016
92016
Efficient probabilistic performance bounds for inverse reinforcement learning
DS Brown, S Niekum
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
82018
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
DS Brown, W Goo, P Nagarajan, S Niekum
arXiv preprint arXiv:1904.06387, 2019
72019
Algorithms for stochastic physical search on general graphs
DS Brown, J Hudack, B Banerjee
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
52015
Balancing Human and Inter-Agent Influences for Shared Control of Bio-Inspired Collectives
DS Brown, SY Jung, MA Goodrich
Proceedings of the 2014 IEEE International Conference on Systems, Man, and …, 2014
52014
Exact and Heuristic Algorithms for Risk‐Aware Stochastic Physical Search
DS Brown, J Hudack, N Gemelli, B Banerjee
Computational Intelligence 33 (3), 524-553, 2017
42017
Multiobjective optimization for the stochastic physical search problem
J Hudack, N Gemelli, D Brown, S Loscalzo, JC Oh
International Conference on Industrial, Engineering and Other Applications …, 2015
32015
Toward Scalable Human Interaction with Bio-Inspired Robot Teams
DS Brown
Brigham Young University, 2013
22013
LAAIR: A Layered Architecture for Autonomous Interactive Robots
Y Jiang, N Walker, M Kim, N Brissonneau, DS Brown, JW Hart, S Niekum, ...
12018
Toward probabilistic safety bounds for robot learning from demonstration
DS Brown, S Niekum
2017 AAAI Fall Symposium Series, 2017
12017
k-Agent Sufficiency for Multiagent Stochastic Physical Search Problems
DS Brown, S Loscalzo, N Gemelli
International Conference on Algorithmic Decision Theory, 171-186, 2015
12015
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Articles 1–20