Efficient reinforcement learning for autonomous driving with parameterized skills and priors
When autonomous vehicles are deployed on public roads, they will encounter countless and
diverse driving situations. Many manually designed driving policies are difficult to scale to …
diverse driving situations. Many manually designed driving policies are difficult to scale to …
[PDF][PDF] Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
L Wang, J Liu, H Shao, W Wang, R Chen, Y Liu… - roboticsproceedings.org
When autonomous vehicles are deployed on public roads, they will encounter countless and
diverse driving situations. Many manually designed driving policies are difficult to scale to …
diverse driving situations. Many manually designed driving policies are difficult to scale to …
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
L Wang, J Liu, H Shao, W Wang, R Chen, Y Liu… - arXiv e …, 2023 - ui.adsabs.harvard.edu
When autonomous vehicles are deployed on public roads, they will encounter countless and
diverse driving situations. Many manually designed driving policies are difficult to scale to …
diverse driving situations. Many manually designed driving policies are difficult to scale to …
[PDF][PDF] Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
L Wang, J Liu, H Shao, W Wang, R Chen, Y Liu… - roboticsproceedings.org
When autonomous vehicles are deployed on public roads, they will encounter countless and
diverse driving situations. Many manually designed driving policies are difficult to scale to …
diverse driving situations. Many manually designed driving policies are difficult to scale to …