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 | 359 | 2019 |
Better-than-demonstrator imitation learning via automatically-ranked demonstrations DS Brown, W Goo, S Niekum 🏆🤖 Conference on Robot Learning (CoRL), 330-359, 2020 | 193 | 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 | 138* | 2020 |
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications DS Brown, S Niekum 🛡 ✋ AAAI Conference on Artificial Intelligence 33 (01), 7749-7758, 2019 | 93 | 2019 |
Risk-aware active inverse reinforcement learning DS Brown, Y Cui, S Niekum 🏆 🛡 Conference on Robot Learning, 362-372, 2018 | 70 | 2018 |
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 | 56 | 2021 |
Benchmarks and Algorithms for Offline Preference-Based Reward Learning D Shin, AD Dragan, DS Brown 🏆 🛡 Transactions on Machine Learning Research (TMLR), 2023 | 50* | 2023 |
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 | 50 | 2014 |
Efficient probabilistic performance bounds for inverse reinforcement learning D Brown, S Niekum 🏆 🛡 AAAI Conference on Artificial Intelligence 32 (1), 2018 | 49 | 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 | 49 | 2014 |
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 | 45 | 2021 |
Two Invariants of Human-Swarm Interaction DS Brown, MA Goodrich, SY Jung, S Kerman ✋🐜 Journal of Human-Robot Interaction 1 (1), 78-95, 2016 | 42 | 2016 |
Supporting human interaction with robust robot swarms S Kerman, D Brown, MA Goodrich 🐜✋ International Symposium on Resilient Control Systems, 197-202, 2012 | 38 | 2012 |
Value alignment verification DS Brown, J Schneider, A Dragan, S Niekum 🛡 International Conference on Machine Learning (ICML), 1105-1115, 2021 | 37 | 2021 |
Causal Confusion and Reward Misidentification in Preference-Based Reward Learning J Tien, JZY He, Z Erickson, A Dragan, DS Brown 🛡🏆 International Conference on Learning Representations (ICLR), 2023 | 36* | 2023 |
Bayesian robust optimization for imitation learning D Brown, S Niekum, M Petrik 🛡 Advances in Neural Information Processing Systems (NeurIPS) 33, 2479-2491, 2020 | 36 | 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 | 30 | 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 | 26 | 2016 |
Situational confidence assistance for lifelong shared autonomy M Zurek, A Bobu, DS Brown, AD Dragan ✋🤖 2021 IEEE International Conference on Robotics and Automation (ICRA …, 2021 | 24 | 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 | 24 | 2018 |