Scott Niekum
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Robot Manipulation and Learning, Machine Learning and Algorithms, Adversarial Robustness in Machine Learning, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Learning grounded finite-state representations from unstructured demonstrations(2014)193 cited
- → Learning and generalization of complex tasks from unstructured demonstrations(2012)172 cited
- A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms(2021)
- → Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement\n Learning from Observations(2019)120 cited
- → Incremental Semantically Grounded Learning from Demonstration(2013)96 cited
- → Active articulation model estimation through interactive perception(2015)77 cited
- → Active Reward Learning from Critiques(2018)59 cited
- → Genetic Programming for Reward Function Search(2010)56 cited
- → Human Gaze Following for Human-Robot Interaction(2018)54 cited