Daniel S. Brown
Citeras av
Citeras av
Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations
DS Brown, W Goo, P Nagarajan, S Niekum
arXiv preprint arXiv:1904.06387, 2019
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
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
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
Supporting human interaction with robust robot swarms
S Kerman, D Brown, MA Goodrich
2012 5th International Symposium on Resilient Control Systems, 197-202, 2012
Risk-aware active inverse reinforcement learning
DS Brown, Y Cui, S Niekum
Conference on Robot Learning, 362-372, 2018
Efficient probabilistic performance bounds for inverse reinforcement learning
D Brown, S Niekum
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Two Invariants of Human-Swarm Interaction
DS Brown, MA Goodrich, SY Jung, S Kerman
Journal of Human-Robot Interaction 1 (1), 78-95, 2016
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
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
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
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
Better-than-demonstrator imitation learning via automatically-ranked demonstrations
DS Brown, W Goo, S Niekum
Conference on Robot Learning, 330-359, 2020
Algorithms for stochastic physical search on general graphs
DS Brown, J Hudack, B Banerjee
Workshops at the twenty-ninth AAAI conference on artificial intelligence 3, 12, 2015
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
DS Brown, R Coleman, R Srinivasan, S Niekum
arXiv preprint arXiv:2002.09089, 2020
Deep bayesian reward learning from preferences
DS Brown, S Niekum
arXiv preprint arXiv:1912.04472, 2019
LAAIR: A Layered Architecture for Autonomous Interactive Robots
Y Jiang, N Walker, M Kim, N Brissonneau, DS Brown, JW Hart, S Niekum, ...
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
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
Toward Probabilistic Safety Bounds for Robot Learning from Demonstration.
DS Brown, S Niekum
AAAI Fall Symposia, 10-18, 2017
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20