Nicholas Rhinehart

Identifiers

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Papers (8)

1. Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information cs.LG · 2018 · author #3
2. Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning cs.HC · 2018 · author #3
3. Learning Neural Parsers with Deterministic Differentiable Imitation Learning cs.LG · 2018 · author #2
4. Predictive-State Decoders: Encoding the Future into Recurrent Networks stat.ML · 2017 · author #2
5. N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning cs.LG · 2017 · author #2
6. First-Person Activity Forecasting with Online Inverse Reinforcement Learning cs.CV · 2016 · author #1
7. Learning Action Maps of Large Environments via First-Person Vision cs.CV · 2016 · author #1
8. Visual Chunking: A List Prediction Framework for Region-Based Object Detection cs.CV · 2014 · author #1

Mentions

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Frequent Coauthors

• Kris M. Kitani 7 shared papers
• J. Andrew Bagnell 2 shared papers
• Martial Hebert 2 shared papers
• Anubhav Ashok 1 shared papers
• Arjun Sharma 1 shared papers
• Arun Venkatraman 1 shared papers
• Byron Boots 1 shared papers
• Eshed Ohn-Bar 1 shared papers
• Fares Beainy 1 shared papers
• Jiaji Zhou 1 shared papers
• Katharina Muelling 1 shared papers
• Lerrel Pinto 1 shared papers
• Mohit Sharma 1 shared papers
• Tanmay Shankar 1 shared papers
• Wen Sun 1 shared papers
• Xinlei Pan 1 shared papers
• Yan Xu 1 shared papers
• Yilin Shen 1 shared papers