Scott Niekum

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning ICLR 2025 Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning ICLR 2025 A Dual Approach to Imitation Learning from Observations with Offline Datasets CoRL 2024 Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning ICLR 2024 Data-Efficient Policy Evaluation Through Behavior Policy Search JMLR 2024 Dual RL: Unification and New Methods for Reinforcement and Imitation Learning ICLR 2024 Learning Optimal Advantage from Preferences and Mistaking It for Reward AAAI 2024 Predicting Future Actions of Reinforcement Learning Agents NeurIPS 2024 Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms NeurIPS 2024 Score Models for Offline Goal-Conditioned Reinforcement Learning ICLR 2024 SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions NeurIPS 2024 The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications AAAI 2023 Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? L4DC 2022 Fairness Guarantees under Demographic Shift ICLR 2022 Adversarial Intrinsic Motivation for Reinforcement Learning NeurIPS 2021 A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms JMLR 2021 Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback AAAI 2021 Distributional Depth-Based Estimation of Object Articulation Models CoRL 2021 SCAPE: Learning Stiffness Control from Augmented Position Control Experiences CoRL 2021 SOPE: Spectrum of Off-Policy Estimators NeurIPS 2021 Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning IJCAI 2021 Universal Off-Policy Evaluation NeurIPS 2021 Value Alignment Verification ICML 2021 You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL CoRL 2021 Bayesian Robust Optimization for Imitation Learning NeurIPS 2020 Human Gaze Assisted Artificial Intelligence: A Review IJCAI 2020 PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards CoRL 2020 Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences ICML 2020 The EMPATHIC Framework for Task Learning from Implicit Human Feedback CoRL 2020 Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations CoRL 2019 Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations ICML 2019 Importance Sampling Policy Evaluation with an Estimated Behavior Policy ICML 2019 Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019 Understanding Teacher Gaze Patterns for Robot Learning CoRL 2019 Using Natural Language for Reward Shaping in Reinforcement Learning IJCAI 2019 Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics CoRL 2018 Risk-Aware Active Inverse Reinforcement Learning CoRL 2018 Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017 On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search ICML 2016 Policy Evaluation Using the Ω-Return NeurIPS 2015 Incremental Semantically Grounded Learning from Demonstration RSS 2013 Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NeurIPS 2011 TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NeurIPS 2011