Nicholas Rhinehart

发表

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).

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

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

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).

First-Person Forecasting with Online Inverse Reinforcement Learning

Nicholas Rhinehart, Kris M. Kitani, 2016 .

SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments

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

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

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

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

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

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.

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

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

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

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

Conservative Safety Critics for Exploration pdf

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

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).

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).

Sequential Forecasting of 100,000 Points

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

Parrot: Data-Driven Behavioral Priors for Reinforcement Learning pdf

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

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).

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).

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.

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

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

Online Semantic Activity Forecasting with DARKO pdf

Nicholas Rhinehart, Kris M. Kitani, 2016, ArXiv.

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

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

Conservative Safety Critics for Exploration pdf

Sergey Levine, Nicholas Rhinehart, Animesh Garg, 2021, ICLR.

Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models

Sergey Levine, Joseph E. Gonzalez, Nicholas Rhinehart, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

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

Sergey Levine, Nicholas Rhinehart, Dhruv Shah, 2021, ArXiv.

Explore and Control with Adversarial Surprise pdf

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

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

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