Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: OIL: Observational Imitation Learning
Efficient reductions for imitation learning
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
Learning by imitation: a hierarchical approach.
End-to-End Differentiable Adversarial Imitation Learning
Integrating Structure with Deep Reinforcement and Imitation Learning
Behavioral Cloning from Observation
Computational Approaches to Motor Learning by Imitation
Deep Imitative Models for Flexible Inference, Planning, and Control
DART: Noise Injection for Robust Imitation Learning
Imitation Learning with Recurrent Neural Networks
Reinforcement Learning from Imperfect Demonstrations
Learning Dexterous Manipulation Policies from Experience and Imitation
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
Adaptive Information Gathering via Imitation Learning
Robust Imitation of Diverse Behaviors
Generative Adversarial Self-Imitation Learning
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Active Reinforcement Learning : Observing Rewards at a Cost
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
learning about natural human - robot interaction styles .
Update on the Family Strain Questionnaire: A Tool for the General Screening of Caregiving-Related Problems
The role of park conditions and features on park visitation and physical activity.
Learning grounded finite-state representations from unstructured demonstrations
TextRank: Bringing Order Into Texts