Nicholas Rhinehart

发表

Robust Imitative Planning: Planning from Demonstrations Under Uncertainty

S. Levine, Rowan McAllister, P. Tigas, 2019 .

First-Person Activity Forecasting with Online Inverse Reinforcement Learning

Nicholas Rhinehart, Kris M. Kitani, Nicholas Rhinehart, 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

PRECOG : PREdictions Conditioned On Goals in Visual Multi-Agent Scenarios

Kris M. Kitani, S. Levine, Rowan McAllister, 2019 .

SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments

Sergey Levine, Chelsea Finn, Nicholas Rhinehart, 2021, ICLR.

ViNG: Learning Open-World Navigation with Visual Goals pdf

Sergey Levine, Nicholas Rhinehart, Gregory Kahn, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

SMiRL: Surprise Minimizing Reinforcement Learning in Dynamic Environments

S. Levine, Chelsea Finn, Nicholas Rhinehart, 2019 .

RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models

Sergey Levine, Nicholas Rhinehart, Gregory Kahn, 2021, CoRL.

Explore and Control with Adversarial Surprise pdf

Sergey Levine, Natasha Jaques, Stuart J. Russell, 2021, ArXiv.

Parrot: Data-Driven Behavioral Priors for Reinforcement Learning pdf

Sergey Levine, Nicholas Rhinehart, Avi Singh, 2020, ICLR.

Jointly Forecasting and Controlling Behavior by Learning from High-Dimensional Data

Nicholas Rhinehart, 2019 .

PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings

Sergey Levine, Nicholas Rhinehart, Rowan McAllister, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Intrinsic Control of Variational Beliefs in Dynamic Partially-Observed Visual Environments

John D. Co-Reyes, S. Levine, Chelsea Finn, 2021 .

ViNG: Learning Open-World Navigation with Visual Goals

S. Levine, G. Kahn, Nicholas Rhinehart, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Conservative Safety Critics for Exploration pdf

Nicholas Rhinehart, Animesh Garg, Florian Shkurti, 2020, ICLR.

Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments

David D. Fan, Henry A. Leopold, S. Levine, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?

Sergey Levine, Nicholas Rhinehart, Rowan McAllister, 2020, ICML.

Deep Imitative Models for Flexible Inference, Planning, and Control pdf

Sergey Levine, Nicholas Rhinehart, Rowan McAllister, 2018, ICLR.

r2p2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting

Paul Vernaza, Nicholas Rhinehart, Kris M. Kitani, 2018, ECCV.

Offline Reinforcement Learning for Visual Navigation

S. Levine, Nicholas Rhinehart, Dhruv Shah, 2022, CoRL.

Visual chunking: A list prediction framework for region-based object detection

Martial Hebert, J. Andrew Bagnell, Nicholas Rhinehart, 2014, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information pdf

Mohit Sharma, Arjun Sharma, Nicholas Rhinehart, 2018, ICLR.

Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting

Jianren Wang, Nicholas Rhinehart, Kris Kitani, 2020, CoRL.

Generative Hybrid Representations for Activity Forecasting With No-Regret Learning

Nicholas Rhinehart, Kris M. Kitani, Ye Yuan, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models

Matthew A. Wright, S. Levine, Nicholas Rhinehart, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Sequential Forecasting of 100,000 Points

Jianren Wang, Nicholas Rhinehart, Kris M. Kitani, 2020 .

Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting

Kris M. Kitani, S. Levine, Nicholas Rhinehart, 2020, ArXiv.

First-Person Activity Forecasting from Video with Online Inverse Reinforcement Learning

Nicholas Rhinehart, Kris M. Kitani, Kris Kitani, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Policies to Forecast Agent Behavior with Visual Data

Nicholas Rhinehart, 2018 .

N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning pdf

Nicholas Rhinehart, Kris M. Kitani, Fares Beainy, 2017, ICLR.

S2Net: Stochastic Sequential Pointcloud Forecasting

Nicholas Rhinehart, Adrien Gaidon, Kris Kitani, 2022, ECCV.

Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty

Matthew A. Wright, S. Levine, Nicholas Rhinehart, 2022, Conference on Robot Learning.

Learning Neural Parsers with Deterministic Differentiable Imitation Learning pdf

Nicholas Rhinehart, Kris M. Kitani, Katharina Muelling, 2018, CoRL.

Predictive-State Decoders: Encoding the Future into Recurrent Networks

Byron Boots, Martial Hebert, J. Andrew Bagnell, 2017, NIPS.

Learning Action Maps of Large Environments via First-Person Vision

Nicholas Rhinehart, Kris M. Kitani, Nicholas Rhinehart, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting

Nicholas Rhinehart, R. McAllister, Jiezhi Yang, 2024, ArXiv.