Scott Niekum

According to our database1, Scott Niekum authored at least 85 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning Optimal Advantage from Preferences and Mistaking It for Reward.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Ranking Game for Imitation Learning.
Trans. Mach. Learn. Res., 2023

Score Models for Offline Goal-Conditioned Reinforcement Learning.
CoRR, 2023

Contrastive Preference Learning: Learning from Human Feedback without RL.
CoRR, 2023

Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill-Learning.
CoRR, 2023

Granger-Causal Hierarchical Skill Discovery.
CoRR, 2023

Imitation from Arbitrary Experience: A Dual Unification of Reinforcement and Imitation Learning Methods.
CoRR, 2023

Language-guided Task Adaptation for Imitation Learning.
CoRR, 2023

The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Models of human preference for learning reward functions.
CoRR, 2022

Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL.
CoRR, 2022

Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
Proceedings of the Learning for Dynamics and Control Conference, 2022

Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Fairness Guarantees under Demographic Shift.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Importance sampling in reinforcement learning with an estimated behavior policy.
Mach. Learn., 2021

A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms.
J. Mach. Learn. Res., 2021

Robust Generative Adversarial Imitation Learning via Local Lipschitzness.
CoRR, 2021

Zero-shot Task Adaptation using Natural Language.
CoRR, 2021

SOPE: Spectrum of Off-Policy Estimators.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarial Intrinsic Motivation for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Universal Off-Policy Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-Supervised Online Reward Shaping in Sparse-Reward Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Value Alignment Verification.
Proceedings of the 38th International Conference on Machine Learning, 2021

SCAPE: Learning Stiffness Control from Augmented Position Control Experiences.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Distributional Depth-Based Estimation of Object Articulation Models.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Efficiently Guiding Imitation Learning Agents with Human Gaze.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Value Alignment Verification.
CoRR, 2020

ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory.
CoRR, 2020

Efficiently Guiding Imitation Learning Algorithms with Human Gaze.
CoRR, 2020

Local Nonparametric Meta-Learning.
CoRR, 2020

Bayesian Robust Optimization for Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Hybrid Object Kinematics for Efficient Hierarchical Planning Under Uncertainty.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Human Gaze Assisted Artificial Intelligence: A Review.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences.
Proceedings of the 37th International Conference on Machine Learning, 2020

PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards.
Proceedings of the 4th Conference on Robot Learning, 2020

The EMPATHIC Framework for Task Learning from Implicit Human Feedback.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Deep Bayesian Reward Learning from Preferences.
CoRR, 2019

Ranking-Based Reward Extrapolation without Rankings.
CoRR, 2019

Using Natural Language for Reward Shaping in Reinforcement Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

One-Shot Learning of Multi-Step Tasks from Observation via Activity Localization in Auxiliary Video.
Proceedings of the International Conference on Robotics and Automation, 2019

Uncertainty-Aware Data Aggregation for Deep Imitation Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

Importance Sampling Policy Evaluation with an Estimated Behavior Policy.
Proceedings of the 36th International Conference on Machine Learning, 2019

Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations.
Proceedings of the 36th International Conference on Machine Learning, 2019

Enhancing Robot Learning with Human Social Cues.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

Learning from Corrective Demonstrations.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

Understanding Teacher Gaze Patterns for Robot Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
LAAIR: A Layered Architecture for Autonomous Interactive Robots.
CoRR, 2018

Towards Online Learning from Corrective Demonstrations.
CoRR, 2018

Learning Multi-Step Robotic Tasks from Observation.
CoRR, 2018

Human Gaze Following for Human-Robot Interaction.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Incremental Task Modification via Corrective Demonstrations.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Active Reward Learning from Critiques.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Asking for Help Effectively via Modeling of Human Beliefs.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Risk-Aware Active Inverse Reinforcement Learning.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Safe Reinforcement Learning via Shielding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Viewpoint selection for visual failure detection.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Classification error correction: A case study in brain-computer interfacing.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Data-Efficient Policy Evaluation Through Behavior Policy Search.
Proceedings of the 34th International Conference on Machine Learning, 2017

Toward Probabilistic Safety Bounds for Robot Learning from Demonstration.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
High Confidence Off-Policy Evaluation with Models.
CoRR, 2016

On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Learning grounded finite-state representations from unstructured demonstrations.
Int. J. Robotics Res., 2015

Policy Evaluation Using the Ω-Return.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Online Bayesian changepoint detection for articulated motion models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Active articulation model estimation through interactive perception.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Learning pouring skills from demonstration and practice.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013
Incremental Semantically Grounded Learning from Demonstration.
Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

An Integrated System for Learning Multi-Step Robotic Tasks from Unstructured Demonstrations.
Proceedings of the Designing Intelligent Robots: Reintegrating AI II, 2013

2012
Learning and generalization of complex tasks from unstructured demonstrations.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Complex Task Learning from Unstructured Demonstrations.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Evolution of reward functions for reinforcement learning.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery.
Proceedings of the Lifelong Learning, 2011

2010
Genetic Programming for Reward Function Search.
IEEE Trans. Auton. Ment. Dev., 2010

Evolved Intrinsic Reward Functions for Reinforcement Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010


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