| Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations D Brown, W Goo, P Nagarajan, S Niekum International Conference on Machine Learning, 783-792, 2019 | 48 | 2019 |
| Machine teaching for inverse reinforcement learning: Algorithms and applications DS Brown, S Niekum Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7749-7758, 2019 | 32 | 2019 |
| Limited bandwidth recognition of collective behaviors in bio-inspired swarms DS Brown, MA Goodrich Air Force Research Laboratory/RISC Rome United States, 2014 | 32 | 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 | 29 | 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 | 29 | 2012 |
| Risk-aware active inverse reinforcement learning DS Brown, Y Cui, S Niekum Conference on Robot Learning, 362-372, 2018 | 27 | 2018 |
| Efficient probabilistic performance bounds for inverse reinforcement learning D Brown, S Niekum Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 21 | 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 | 19 | 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 | 17 | 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 | 16 | 2016 |
| Better-than-demonstrator imitation learning via automatically-ranked demonstrations DS Brown, W Goo, S Niekum Conference on Robot Learning, 330-359, 2020 | 13* | 2020 |
| 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 | 13 | 2016 |
| Safe imitation learning via fast bayesian reward inference from preferences D Brown, R Coleman, R Srinivasan, S Niekum International Conference on Machine Learning, 1165-1177, 2020 | 11* | 2020 |
| 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 | 10 | 2015 |
| LAAIR: A Layered Architecture for Autonomous Interactive Robots Y Jiang, N Walker, M Kim, N Brissonneau, DS Brown, JW Hart, S Niekum, ... | 7 | 2018 |
| 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 | 7 | 2015 |
| Toward Probabilistic Safety Bounds for Robot Learning from Demonstration. DS Brown, S Niekum AAAI Fall Symposia, 10-18, 2017 | 5 | 2017 |
| 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 | 5 | 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 | 5 | 2014 |
| 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 | 4 | 2017 |
Scott NiekumAssistant Professor, University of Texas at AustinVerified email at cs.utexas.edu
