Learning an Interpretable Model for Driver Behavior Prediction with
Inductive Biases

Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases

31 July 2022

Saber Fallah

Papers citing "Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases"

17 / 17 papers shown

Title
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors Simon Suo S. Regalado Sergio Casas R. Urtasun 168 225 0 17 Jan 2021
Neural Dynamic Policies for End-to-End Sensorimotor Learning Shikhar Bahl Mustafa Mukadam Abhinav Gupta Deepak Pathak 34 83 0 04 Dec 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 81 834 0 05 Oct 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 188 157 0 23 Jul 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases M. Cranmer Alvaro Sanchez-Gonzalez Peter W. Battaglia Rui Xu Kyle Cranmer D. Spergel S. Ho AI4CE 55 473 0 19 Jun 2020
The Importance of Prior Knowledge in Precise Multimodal Prediction Sergio Casas Cole Gulino Simon Suo R. Urtasun 23 42 0 04 Jun 2020
Online Parameter Estimation for Human Driver Behavior Prediction Raunak P. Bhattacharyya Ransalu Senanayake Kyle Brown Mykel Kochenderfer 46 34 0 06 May 2020
Structured Mechanical Models for Robot Learning and Control Jayesh K. Gupta Kunal Menda Zachary Manchester Mykel J. Kochenderfer DRL 41 34 0 21 Apr 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 48 649 0 20 Feb 2020
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data Sergio Casas Cole Gulino Renjie Liao R. Urtasun AI4CE 205 211 0 18 Oct 2019
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic Maxime Bouton A. Nakhaei K. Fujimura Mykel J. Kochenderfer 42 90 0 26 Jun 2019
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning Raunak P. Bhattacharyya Derek J. Phillips Changliu Liu Jayesh K. Gupta Katherine Driggs-Campbell Mykel J. Kochenderfer AI4CE 35 54 0 14 Mar 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 72 122 0 08 Jan 2019
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 72 1,849 0 31 May 2018
Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior Jeremy Morton Mykel J. Kochenderfer 45 36 0 19 Apr 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 338 18,300 0 27 May 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 872 149,474 0 22 Dec 2014

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