149 citations · 360 across the 29 of their papers we have counts for
4 papers · 1 filter
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning
Junjie Wang, Yao Mu, Dong Li +6
The latent world model provides a promising way to learn policies in a compact latent space for tasks with high-dimensional observations, however, its generalization across diverse…
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning
Junjie Wang, Qichao Zhang, Dongbin Zhao
The development of autonomous driving has attracted extensive attention in recent years, and it is essential to evaluate the performance of autonomous driving. However, testing on…
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Junjie Wang, Qichao Zhang, Dongbin Zhao +2
Existing model-based value expansion methods typically leverage a world model for value estimation with a fixed rollout horizon to assist policy learning. However, the fixed rollou…
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving
Dong Li, Dongbin Zhao, Qichao Zhang +1
This paper investigates the vision-based autonomous driving with deep learning and reinforcement learning methods. Different from the end-to-end learning method, our method breaks…