Search Results for author: RuoBing Chen

Found 4 papers, 2 papers with code

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

1 code implementation8 May 2023 Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, RuoBing Chen, Yu Liu, Steven L. Waslander

Inspired by this, we propose ASAP-RL, an efficient reinforcement learning algorithm for autonomous driving that simultaneously leverages motion skills and expert priors.

Autonomous Driving reinforcement-learning

ReasonNet: End-to-End Driving with Temporal and Global Reasoning

no code implementations CVPR 2023 Hao Shao, Letian Wang, RuoBing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu

The large-scale deployment of autonomous vehicles is yet to come, and one of the major remaining challenges lies in urban dense traffic scenarios.

Autonomous Driving

Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations

no code implementations13 Oct 2023 Lu Li, Yuxin Pan, RuoBing Chen, Jie Liu, Zilin Wang, Yu Liu, Zhiheng Li

Considering that obtaining expert demonstrations can be costly, the focus of current IRL techniques is on learning a better-than-demonstrator policy using a reward function derived from sub-optimal demonstrations.

Contrastive Learning

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