research
∙
02/27/2023
(Re)^2H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning
Autonomous driving and its widespread adoption have long held tremendous...
share
research
∙
07/01/2022
Discriminator-Guided Model-Based Offline Imitation Learning
Offline imitation learning (IL) is a powerful method to solve decision-m...
research
∙
06/27/2022
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
Learning effective reinforcement learning (RL) policies to solve real-wo...
research
∙
10/22/2021
ModEL: A Modularized End-to-end Reinforcement Learning Framework for Autonomous Driving
Heated debates continue over the best autonomous driving framework. The ...
research
∙
07/25/2021
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning
How to explore corner cases as efficiently and thoroughly as possible ha...
research
∙
09/09/2020