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Daniel S. Brown
Daniel S. Brown
Assistant Professor, Robotics Center and School of Computing, University of Utah
Verified email at cs.utah.edu - Homepage
Title
Cited by
Cited by
Year
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
3302019
Better-than-demonstrator imitation learning via automatically-ranked demonstrations
DS Brown, W Goo, S Niekum
🏆🤖 Conference on Robot Learning (CoRL), 330-359, 2020
1822020
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
130*2020
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
DS Brown, S Niekum
🛡 ✋ AAAI Conference on Artificial Intelligence 33 (01), 7749-7758, 2019
922019
Risk-aware active inverse reinforcement learning
DS Brown, Y Cui, S Niekum
🏆 🛡 Conference on Robot Learning, 362-372, 2018
682018
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
522021
Efficient probabilistic performance bounds for inverse reinforcement learning
D Brown, S Niekum
🏆 🛡 AAAI Conference on Artificial Intelligence 32 (1), 2018
472018
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
462014
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
442014
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
432021
Benchmarks and Algorithms for Offline Preference-Based Reward Learning
D Shin, AD Dragan, DS Brown
🏆 🛡 Transactions on Machine Learning Research (TMLR), 2023
41*2023
Two Invariants of Human-Swarm Interaction
DS Brown, MA Goodrich, SY Jung, S Kerman
✋🐜 Journal of Human-Robot Interaction 1 (1), 78-95, 2016
372016
Supporting human interaction with robust robot swarms
S Kerman, D Brown, MA Goodrich
🐜✋ International Symposium on Resilient Control Systems, 197-202, 2012
372012
Bayesian robust optimization for imitation learning
D Brown, S Niekum, M Petrik
🛡 Advances in Neural Information Processing Systems (NeurIPS) 33, 2479-2491, 2020
362020
Value alignment verification
DS Brown, J Schneider, A Dragan, S Niekum
🛡 International Conference on Machine Learning (ICML), 1105-1115, 2021
352021
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
302016
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
26*2023
Classifying swarm behavior via compressive subspace learning
M Berger, LM Seversky, DS Brown
🐜✋ IEEE International Conference on Robotics and Automation (ICRA), 5328-5335, 2016
262016
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
242018
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
222021
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