Daniel S. Brown
机构: Assistant Professor, Robotics Center and School of Computing, University of Utah
主页: utah.edu
每年引用次数
引用次数
引用: 1,747
H-指数: 21
I10-指数 : 34
出版物: 63
Toward probabilistic safety bounds for robot learning from demonstration
Daniel S Brown , Scott Niekum
2017 AAAI Fall Symposium Series
13
2017
Limited bandwidth recognition of collective behaviors in bio-inspired swarms.
Daniel S Brown , Michael A Goodrich
AAMAS 405 -412
50
2014
Bayesian Methods for Constraint Inference in Reinforcement Learning
Dimitris Papadimitriou , Usman Anwar , Daniel S Brown
🛡Transactions on Machine Learning Research (TMLR)
17
2022
Interpretable Reward Learning via Differentiable Decision Trees
Akansha Kalra , Daniel S Brown
NeurIPS ML Safety Workshop
4
2022
Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms
Connor Mattson , Daniel S Brown
🐜✋ Genetic and Evolutionary Computation Conference (GECCO)
3
2023
Learning and control techniques in portfolio optimization
Daniel S Brown
Brigham Young University
3
2011
Autonomous assessment of demonstration sufficiency via bayesian inverse reinforcement learning
Tu Trinh , Haoyu Chen , Daniel S Brown
725 -733
2
2024
Can Differentiable Decision Trees Learn Interpretable Reward Functions?
Akansha Kalra , Daniel S Brown
🏆🛡 arXiv preprint arXiv:2306.13004
1
2023
Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery
Zohre Karimi , Shing-Hei Ho , Bao Thach , Alan Kuntz
🤖🏆International Symposium on Medical Robotics (ISMR)
2024
Modeling Kinematic Uncertainty of Tendon-Driven Continuum Robots via Mixture Density Networks
Jordan Thompson , Brian Y Cho , Daniel S Brown , Alan Kuntz
🤖🛡 International Symposium on Medical Robotics (ISMR)
2024
Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models
Dimitris Papadimitriou , Daniel S Brown
🛡 IEEE International Conference on Robotics and Automation (ICRA)
2024
Exploring Behavior Discovery Methods for Heterogeneous Swarms of Limited-Capability Robots
Connor Mattson , Jeremy C Clark , Daniel S Brown
🐜✋2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS) 163 -169
2023
Player-Centric Procedural Content Generation: Enhancing Runtime Customization by Integrating Real-Time Player Feedback
Nancy N Blackburn , M Gardone , Daniel S Brown
10 -16
2023
Towards a Gaze-Driven Assistive Neck Exoskeleton via Virtual Reality Data Collection
Jordan Thompson , Haohan Zhang , Daniel S Brown
✋🤖 HRI Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions
2023
Leveraging Human Input to Enable Robust AI Systems
Daniel S Brown
🤖 🛡 🏆 ✋
2021
Algorithms for Stochastic Physical Search on General Graphs
Daniel S. Brown , Bikramjit Banerjee , Jeffrey Hudack
national conference on artificial intelligence
5
2015
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
Scott Niekum , Daniel S. Brown , Wonjoon Goo , Prabhat Nagarajan
arXiv: Learning
216
2019
Risk-Aware Active Inverse Reinforcement Learning
Scott Niekum , Daniel S. Brown , Yuchen Cui
Conference on Robot Learning 362 -372
53
2018
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations
Scott Niekum , Daniel S. Brown , Wonjoon Goo
Conference on Robot Learning 330 -359
101
2019
Bayesian Robust Optimization for Imitation Learning
Marek Petrik , Scott Niekum , Daniel S. Brown
neural information processing systems 33 2479 -2491
20
2020