Interaction-Aware and Hierarchically-Explainable Heterogeneous Graph-based Imitation Learning for Autonomous Driving Simulation-Reference-Cited by-同舟云学术

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Interaction-Aware and Hierarchically-Explainable Heterogeneous Graph-based Imitation Learning for Autonomous Driving Simulation

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
Short-container-title:

Author:

Tabatabaie Mahan¹,He Suining¹,Shin Kang G.²

Affiliation:

1. University of Connecticut

2. University of Michigan-Ann Arbor

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342051.pdf?arnumber=10342051

Reference18 articles.

1. Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving

2. Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning

3. Multi-Agent Imitation Learning for Driving Simulation

4. Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization

5. End-to-end Contextual Perception and Prediction with Interaction Transformer

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