引用次数
引用: 3,818
H-指数: 18
I10-指数 : 22
出版物: 45
PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings
Nicholas Rhinehart , Rowan Mcallister , Kris Kitani , Sergey Levine
international conference on computer vision 2821 -2830
109
2019
Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles
Thomas Krendl Gilbert , Aaron J Snoswell , Michael Dennis , Rowan Mcallister
arXiv preprint arXiv:2205.07395
6
2022
Bayesian Reinforcement Learning
Rowan Mcallister , Karolina Dziugaite
Bayesian Reinforcement Learning 35 ( March)
2
2013
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Roberto Calandra , Yarin Gal , Sergey Levine , Rowan Thomas McAllister
international conference on learning representations
235
2020
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
Fernando Castañeda , Haruki Nishimura , Rowan Thomas McAllister , Koushil Sreenath
Smpte Journal 286 -299
2023
Is anyone there? learning a planner contingent on perceptual uncertainty
Charles Packer , Nicholas Rhinehart , Rowan Thomas McAllister , Matthew A Wright
Conference on Robot Learning 1607 -1617
8
2023
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
Gunshi Gupta , Tim GJ Rudner , Rowan Thomas McAllister , Adrien Gaidon
NeurIPS 2022 Workshop on Causality for Real-world Impact
1
Rap: Risk-aware prediction for robust planning
Haruki Nishimura , Jean Mercat , Blake Wulfe , Rowan Thomas McAllister
Conference on Robot Learning 381 -392
10
2023
Planning-aware prediction for control-aware autonomous driving modules
Rowan Thomas Mcallister , Blake Warren Wulfe , Jean Mercat , Logan Michael Ellis
2
2023
System and method for risk-biased trajectory forecasting
Haruki Nishimura , Jean Mercat , Rowan Thomas Mcallister , Adrien David Gaidon
2024
Method for diverse sequential point cloud forecasting
NAN Junyu , Xinshuo Weng , Jean Mercat , Blake Warren Wulfe
2024
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning
Alex Kendall , Adrian Weller , Roberto Cipolla , Yarin Gal
international joint conference on artificial intelligence 4745 -4753
262
2017
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs
Carl Edward Rasmussen , Rowan McAllister
neural information processing systems 30 2040 -2049
15
2017
Bayesian Learning for Data-Efficient Control
Rowan McAllister
Department of Engineering, University of Cambridge
5
2017
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Roberto Calandra , Sergey Levine , Rowan McAllister , Kurtland Chua
arXiv: Learning
935
2018
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty
Jeff Clune , Sergey Levine , Gregory Kahn , Rowan McAllister
arXiv: Learning
31
2018
Unsupervised Exploration with Deep Model-Based Reinforcement Learning
Roberto Calandra , Sergey Levine , Rowan McAllister , Kurtland Chua
4
2018
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks.
Francesco Borrelli , Sergey Levine , Rowan McAllister , Ken Goldberg
arXiv: Learning
90
2019
Resilient navigation through probabilistic modality reconfiguration
Thierry Peynot , Robert Fitch , Alen Alempijevic , Rowan McAllister
intelligent autonomous systems
2013
Can autonomous vehicles identify, recover from, and adapt to distribution shifts?
Yarin Gal , Sergey Levine , Rowan McAllister , Nicholas Rhinehart
international conference on machine learning 1 3145 -3153
108
2020