Nicholas Rhinehart

57 papers A* 15Misc 5Journal 30Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AutoWorld: Scaling Multi-Agent Traffic Simulation with Self-Supervised World Models. CoRR Mozhgan Pourkeshavatz, Tianran Liu, Nicholas Rhinehart
2026	J	`jnl`	OccSim: Multi-kilometer Simulation with Long-horizon Occupancy World Models. CoRR Tianran Liu, Shengwen Zhao, Mozhgan Pourkeshavarz, Weican Li, Nicholas Rhinehart
2025	J	`jnl`	DR-MPC: Deep Residual Model Predictive Control for Real-World Social Navigation. IEEE Robotics Autom. Lett. James R. Han, Hugues Thomas, Jian Zhang, Nicholas Rhinehart, Timothy D. Barfoot
2025	J	`jnl`	Ratatouille: Imitation Learning Ingredients for Real-world Social Robot Navigation. CoRR James R. Han, Mithun Vanniasinghe, Hshmat Sahak, Nicholas Rhinehart, Timothy D. Barfoot
2025	J	`jnl`	Residual Reward Models for Preference-based Reinforcement Learning. CoRR Chenyang Cao, Miguel Rogel Garcia, Mohamed Nabail, Xueqian Wang, Nicholas Rhinehart
2025	J	`jnl`	Towards foundational LiDAR world models with efficient latent flow matching. CoRR Tianran Liu, Shengwen Zhao, Nicholas Rhinehart
2024	—	`conf`	CARFF: Conditional Auto-Encoded Radiance Field for 3D Scene Forecasting. ECCV (89) Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph E. Gonzalez
2024	J	`jnl`	CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting. CoRR Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph Gonzalez
2024	J	`jnl`	DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation. CoRR James R. Han, Hugues Thomas, Jian Zhang, Nicholas Rhinehart, Timothy D. Barfoot
2023	A*	`conf`	The Waymo Open Sim Agents Challenge. NeurIPS Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov
2022	A*	`conf`	Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments. ICRA Nitish Dashora, Daniel Shin, Dhruv Shah, Henry A. Leopold, David D. Fan, Ali-Akbar Agha-Mohammadi, Nicholas Rhinehart, Sergey Levine
2022	Misc	`conf`	Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty. CoRL Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez
2022	Misc	`conf`	Offline Reinforcement Learning for Visual Navigation. CoRL Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine
2022	—	`conf`	S2Net: Stochastic Sequential Pointcloud Forecasting. ECCV (27) Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani
2021	A*	`conf`	Conservative Safety Critics for Exploration. ICLR Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg
2021	A*	`conf`	Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. ICRA Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine
2021	J	`jnl`	Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. CoRR Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine
2021	J	`jnl`	Explore and Control with Adversarial Surprise. CoRR Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine
2021	J	`jnl`	Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments. CoRR Nitish Dashora, Daniel Shin, Dhruv Shah, Henry A. Leopold, David D. Fan, Ali-Akbar Agha-Mohammadi, Nicholas Rhinehart, Sergey Levine
2021	A*	`conf`	Information is Power: Intrinsic Control via Information Capture. NeurIPS Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine
2021	J	`jnl`	Information is Power: Intrinsic Control via Information Capture. CoRR Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine
2021	A*	`conf`	Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. ICLR Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
2021	J	`jnl`	RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models. CoRR Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine
2021	Misc	`conf`	Rapid Exploration for Open-World Navigation with Latent Goal Models. CoRL Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine
2021	A*	`conf`	SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments. ICLR Glen Berseth, Daniel Geng, Coline Manon Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine
2021	A*	`conf`	ViNG: Learning Open-World Navigation with Visual Goals. ICRA Dhruv Shah, Benjamin Eysenbach, Gregory Kahn, Nicholas Rhinehart, Sergey Levine
2020	A*	`conf`	Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? ICML Angelos Filos, Panagiotis Tigas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, Yarin Gal
2020	J	`jnl`	Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? CoRR Angelos Filos, Panagiotis Tigas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, Yarin Gal
2020	J	`jnl`	Conservative Safety Critics for Exploration. CoRR Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg
2020	A*	`conf`	Deep Imitative Models for Flexible Inference, Planning, and Control. ICLR Nicholas Rhinehart, Rowan McAllister, Sergey Levine
2020	J	`jnl`	First-Person Activity Forecasting from Video with Online Inverse Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Nicholas Rhinehart, Kris M. Kitani
2020	A*	`conf`	Generative Hybrid Representations for Activity Forecasting With No-Regret Learning. CVPR Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart
2020	Misc	`conf`	Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting. CoRL Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart
2020	J	`jnl`	Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. CoRR Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
2020	J	`jnl`	Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting. CoRR Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart
2020	J	`jnl`	ViNG: Learning Open-World Navigation with Visual Goals. CoRR Dhruv Shah, Benjamin Eysenbach, Gregory Kahn, Nicholas Rhinehart, Sergey Levine
2019	—	`conf`	Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. ICLR (Poster) Mohit Sharma, Arjun Sharma, Nicholas Rhinehart, Kris M. Kitani
2019	J	`jnl`	Generative Hybrid Representations for Activity Forecasting with No-Regret Learning. CoRR Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart
2019	—	`—`	Jointly Forecasting and Controlling Behavior by Learning from High-Dimensional Data. Nicholas Rhinehart
2019	J	`jnl`	PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings. CoRR Nicholas Rhinehart, Rowan McAllister, Kris M. Kitani, Sergey Levine
2019	A*	`conf`	PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings. ICCV Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine
2018	J	`jnl`	Deep Imitative Models for Flexible Inference, Planning, and Control. CoRR Nicholas Rhinehart, Rowan McAllister, Sergey Levine
2018	J	`jnl`	Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. CoRR Arjun Sharma, Mohit Sharma, Nicholas Rhinehart, Kris M. Kitani
2018	J	`jnl`	Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning. CoRR Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris M. Kitani
2018	Misc	`conf`	Learning Neural Parsers with Deterministic Differentiable Imitation Learning. CoRL Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani
2018	J	`jnl`	Learning Neural Parsers with Deterministic Differentiable Imitation Learning. CoRR Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani
2018	—	`conf`	N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning. ICLR (Poster) Anubhav Ashok, Nicholas Rhinehart, Fares Beainy, Kris M. Kitani
2018	—	`conf`	r2p2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting. ECCV (13) Nicholas Rhinehart, Kris M. Kitani, Paul Vernaza
2017	A*	`conf`	First-Person Activity Forecasting with Online Inverse Reinforcement Learning. ICCV Nicholas Rhinehart, Kris M. Kitani
2017	J	`jnl`	N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning. CoRR Anubhav Ashok, Nicholas Rhinehart, Fares Beainy, Kris M. Kitani
2017	—	`conf`	Predictive-State Decoders: Encoding the Future into Recurrent Networks. NIPS Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, James Andrew Bagnell
2017	J	`jnl`	Predictive-State Decoders: Encoding the Future into Recurrent Networks. CoRR Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell
2016	A*	`conf`	Learning Action Maps of Large Environments via First-Person Vision. CVPR Nicholas Rhinehart, Kris Makoto Kitani
2016	J	`jnl`	Learning Action Maps of Large Environments via First-Person Vision. CoRR Nicholas Rhinehart, Kris M. Kitani
2016	J	`jnl`	Online Semantic Activity Forecasting with DARKO. CoRR Nicholas Rhinehart, Kris M. Kitani
2015	A*	`conf`	Visual chunking: A list prediction framework for region-based object detection. ICRA Nicholas Rhinehart, Jiaji Zhou, Martial Hebert, J. Andrew Bagnell
2014	J	`jnl`	Visual Chunking: A List Prediction Framework for Region-Based Object Detection. CoRR Nicholas Rhinehart, Jiaji Zhou, Martial Hebert, J. Andrew Bagnell