Rhinehart, Nicholas

26 publications

NeurIPS 2025 Towards Foundational LiDAR World Models with Efficient Latent Flow Matching Tianran Liu, Shengwen Zhao, Nicholas Rhinehart

ECCV 2024 CARFF: Conditional Auto-Encoded Radiance Field for 3D Scene Forecasting Jiezhi Yang, Khushi P Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph E Gonzalez

NeurIPS 2023 The Waymo Open Sim Agents Challenge Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov

CoRL 2022 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

NeurIPSW 2022 Offline Reinforcement Learning for Customizable Visual Navigation Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine

NeurIPSW 2022 Offline Reinforcement Learning for Customizable Visual Navigation Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine

CoRL 2022 Offline Reinforcement Learning for Visual Navigation Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine

ECCV 2022 S2Net: Stochastic Sequential Pointcloud Forecasting Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani

ICLR 2021 Conservative Safety Critics for Exploration Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg

ICMLW 2021 Explore and Control with Adversarial Surprise Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine

NeurIPSW 2021 Hybrid Imitative Planning with Geometric and Predictive Costs in Offroad Environments Nitish Dashora, Daniel Shin, Dhruv Shah, Henry Leopold, David Fan, Ali Agha, Nicholas Rhinehart, Sergey Levine

NeurIPS 2021 Information Is Power: Intrinsic Control via Information Capture Nicholas Rhinehart, Jenny Wang, Glen Berseth, John Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine

ICMLW 2021 Intrinsic Control of Variational Beliefs in Dynamic Partially-Observed Visual Environments Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine

ICLR 2021 Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine

CoRL 2021 Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine

ICLR 2021 SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments Glen Berseth, Daniel Geng, Coline Manon Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine

ICML 2020 Can Autonomous Vehicles Identify, Recover from, and Adapt to Distribution Shifts? Angelos Filos, Panagiotis Tigkas, Rowan Mcallister, Nicholas Rhinehart, Sergey Levine, Yarin Gal

ICLR 2020 Deep Imitative Models for Flexible Inference, Planning, and Control Nicholas Rhinehart, Rowan McAllister, Sergey Levine

CoRL 2020 Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart

ICLR 2019 Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations Using Directed Information Mohit Sharma, Arjun Sharma, Nicholas Rhinehart, Kris M. Kitani

CoRL 2018 Learning Neural Parsers with Deterministic Differentiable Imitation Learning Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani

ICLR 2018 N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning Anubhav Ashok, Nicholas Rhinehart, Fares Beainy, Kris M. Kitani

ECCV 2018 R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting Nicholas Rhinehart, Kris M. Kitani, Paul Vernaza

ICCV 2017 First-Person Activity Forecasting with Online Inverse Reinforcement Learning Nicholas Rhinehart, Kris M. Kitani

NeurIPS 2017 Predictive-State Decoders: Encoding the Future into Recurrent Networks Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris Kitani, J. Bagnell

CVPR 2016 Learning Action Maps of Large Environments via First-Person Vision Nicholas Rhinehart, Kris M. Kitani