Accepted Papers
Safe Reinforcement Learning with Mixture Density Network: A Case Study in Autonomous Highway Driving
Ali Baheri
paper
A Robust Control Framework for Intent-Driven Human Motion Prediction
Andrea Bajcsy, Somil Bansal, Ellis Ratner, Claire J. Tomlin, Anca D. Dragan
paper | video
Robust Stochastic Bayesian Games for Behavior Space Coverage
Julian Bernhard, Alois Knoll
arxiv | video
Autonomous Driving with Interpretable Goal Recognition and Monte Carlo Tree Search
Cillian Brewitt, Stefano V. Albrecht, John Wilhelm, Balint Gyevnar, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy
paper | video
Behavior Modeling for Socially Aware Autonomous Driving Using Computational Graph Theory
Rohan Chandra, Abhinav Modi, Aniket Bera, Dinesh Manocha
paper | video
Task-Motion Planning for Safe and Efficient Urban Driving
Yan Ding, Xiaohan Zhang, Xingyue Zhan, Shiqi Zhang
paper | video
Predicting Agents' Trajectories by Estimating Their Motion Planners
Eric Duong, Jamie Poston, Richard Kelley
paper | video | poster
Altruistic Decision-Making for Autonomous Driving with Sparse Rewards
Jack Geary, Henry Gouk
paper | video
Assisted Robust Reward Design
Jerry Zhi-Yang He, Anca D. Dragan
paper | video
On the Challenges of Safe and Scalable Reinforcement Learning for Automated Driving at Intersections
Danial Kamran, Marvin Busch, Tizian Engelgeh
paper | video | demo
A2-GNN: Interaction-Aware Trajectory Prediction via Graph Double-Attention Network
Jiachen Li, Hengbo Ma, Zhihao Zhang, Masayoshi Tomizuka
paper | video
Learning a Perception-Logic Network for Unsupervised Scene Conditioned Driving Behavior
Jierui Lin*, Yifei Xing*, Huazhe (Harry) Xu, Trevor Darrell, Yang Gao
paper | video | demo
Tackling Existence Probabilities of Objects with Motion Planning for Automated Urban Driving
Ömer Sahin Tas, Christoph Stiller
paper | video
POMDP Autonomous Vehicle Visibility Reasoning
Kyle Hollins Wray, Bernard Lange, Arec Jamgochian, Stefan J. Witwicki, Atsuhide Kobashi, Sachin Hagaribommanahalli, David Ilstrup
paper | video
Combined Learning and Optimisation for Motion Trajectory Prediction with Environment Constraints
Weiming Zhi, Lionel Ott, Fabio Ramos
paper | video