Nicholas Rhinehart
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
7
Active years
2015–2024
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ECCV | CARFF: Conditional Auto-Encoded Radiance Field for 3D Scene Forecasting. | Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph E. Gonzalez |
| 2022 | CoRL | Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty. | Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez |
| 2022 | CoRL | Offline Reinforcement Learning for Visual Navigation. | Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine |
| 2022 | ECCV | S2Net: Stochastic Sequential Pointcloud Forecasting. | Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani |
| 2022 | ICRA | Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments. | Nitish Dashora, Daniel Shin, Dhruv Shah, Henry A. Leopold, David D. Fan, Ali-Akbar Agha-Mohammadi, Nicholas Rhinehart, Sergey Levine |
| 2021 | CoRL | Rapid Exploration for Open-World Navigation with Latent Goal Models. | Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine |
| 2021 | ICLR | SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments. | Glen Berseth, Daniel Geng, Coline Manon Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine |
| 2021 | ICLR | Conservative Safety Critics for Exploration. | Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg |
| 2021 | ICLR | Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. | Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine |
| 2021 | ICRA | Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. | Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine |
| 2021 | ICRA | ViNG: Learning Open-World Navigation with Visual Goals. | Dhruv Shah, Benjamin Eysenbach, Gregory Kahn, Nicholas Rhinehart, Sergey Levine |
| 2020 | CoRL | Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting. | Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart |
| 2020 | CVPR | Generative Hybrid Representations for Activity Forecasting With No-Regret Learning. | Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart |
| 2020 | ICLR | Deep Imitative Models for Flexible Inference, Planning, and Control. | Nicholas Rhinehart, Rowan McAllister, Sergey Levine |
| 2020 | ICML | Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? | Angelos Filos, Panagiotis Tigas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, Yarin Gal |
| 2019 | ICCV | PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings. | Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine |
| 2019 | ICLR | Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. | Mohit Sharma, Arjun Sharma, Nicholas Rhinehart, Kris M. Kitani |
| 2018 | CoRL | Learning Neural Parsers with Deterministic Differentiable Imitation Learning. | Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani |
| 2018 | ECCV | r2p2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting. | Nicholas Rhinehart, Kris M. Kitani, Paul Vernaza |
| 2018 | ICLR | N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning. | Anubhav Ashok, Nicholas Rhinehart, Fares Beainy, Kris M. Kitani |
| 2017 | ICCV | First-Person Activity Forecasting with Online Inverse Reinforcement Learning. | Nicholas Rhinehart, Kris M. Kitani |
| 2016 | CVPR | Learning Action Maps of Large Environments via First-Person Vision. | Nicholas Rhinehart, Kris Makoto Kitani |
| 2015 | ICRA | Visual chunking: A list prediction framework for region-based object detection. | Nicholas Rhinehart, Jiaji Zhou, Martial Hebert, J. Andrew Bagnell |