| Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations D Brown, W Goo, P Nagarajan, S Niekum 🏆✋ International Conference on Machine Learning (ICML), 783-792, 2019 | 213 | 2019 |
| Better-than-demonstrator imitation learning via automatically-ranked demonstrations DS Brown, W Goo, S Niekum 🏆🤖 Conference on Robot Learning (CoRL), 330-359, 2020 | 108 | 2020 |
| Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences D Brown, R Coleman, R Srinivasan, S Niekum 🏆 🛡 International Conference on Machine Learning (ICML), 1165-1177, 2020 | 85* | 2020 |
| Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications DS Brown, S Niekum 🛡 ✋ AAAI Conference on Artificial Intelligence 33 (01), 7749-7758, 2019 | 70 | 2019 |
| Risk-aware active inverse reinforcement learning DS Brown, Y Cui, S Niekum 🏆 🛡 Conference on Robot Learning, 362-372, 2018 | 52 | 2018 |
| Limited bandwidth recognition of collective behaviors in bio-inspired swarms DS Brown, MA Goodrich 🐜✋ International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2014 | 40 | 2014 |
| Human-swarm interactions based on managing attractors DS Brown, SC Kerman, MA Goodrich ✋🐜 ACM/IEEE International Conference on Human-Robot Interaction (HRI), 90-97, 2014 | 40 | 2014 |
| Efficient probabilistic performance bounds for inverse reinforcement learning D Brown, S Niekum 🏆 🛡 AAAI Conference on Artificial Intelligence 32 (1), 2018 | 37 | 2018 |
| Supporting human interaction with robust robot swarms S Kerman, D Brown, MA Goodrich 🐜✋ International Symposium on Resilient Control Systems, 197-202, 2012 | 34 | 2012 |
| Two Invariants of Human-Swarm Interaction DS Brown, MA Goodrich, SY Jung, S Kerman ✋🐜 Journal of Human-Robot Interaction 1 (1), 78-95, 2016 | 32 | 2016 |
| Classifying swarm behavior via compressive subspace learning M Berger, LM Seversky, DS Brown 🐜✋ IEEE International Conference on Robotics and Automation (ICRA), 5328-5335, 2016 | 24 | 2016 |
| ThriftyDAgger: Budget-aware novelty and risk gating for interactive imitation learning R Hoque, A Balakrishna, E Novoseller, A Wilcox, DS Brown, K Goldberg 🤖✋ Conference on Robot Learning (CoRL), 2021 | 23 | 2021 |
| Lazydagger: Reducing context switching in interactive imitation learning R Hoque, A Balakrishna, C Putterman, M Luo, DS Brown, D Seita, ... 🤖✋ 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 23 | 2021 |
| LAAIR: A Layered Architecture for Autonomous Interactive Robots Y Jiang, N Walker, M Kim, N Brissonneau, DS Brown, JW Hart, S Niekum, ... 🤖 ✋ AAAI Fall Symposium on Reasoning and Learning in Real-World Systems for …, 2018 | 23 | 2018 |
| 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 | 23 | 2016 |
| Bayesian robust optimization for imitation learning D Brown, S Niekum, M Petrik 🛡 Advances in Neural Information Processing Systems (NeurIPS) 33, 2479-2491, 2020 | 20 | 2020 |
| Shaping couzin-like torus swarms through coordinated mediation SY Jung, DS Brown, MA Goodrich 🐜✋ IEEE International Conference on Systems, Man, and Cybernetics, 1834-1839, 2013 | 19 | 2013 |
| 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 | 14 | 2015 |
| Value alignment verification DS Brown, J Schneider, A Dragan, S Niekum 🛡 International Conference on Machine Learning (ICML), 1105-1115, 2021 | 13 | 2021 |
| Policy gradient bayesian robust optimization for imitation learning Z Javed, DS Brown, S Sharma, J Zhu, A Balakrishna, M Petrik, A Dragan, ... 🛡 International Conference on Machine Learning (ICML), 4785-4796, 2021 | 12 | 2021 |
Scott NiekumAssociate Professor, University of Massachusetts AmherstVerified email at cs.umass.edu
