Tianyu Shi | DeepAI

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∙ 06/02/2023

Improving the generalizability and robustness of large-scale traffic signal control

A number of deep reinforcement-learning (RL) approaches propose to contr...

0 Tianyu Shi, et al. ∙

∙ 12/16/2022

Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing

Most recent studies on neural constituency parsing focus on encoder stru...

0 Tianyu Shi, et al. ∙

∙ 11/03/2022

Joint Chinese Word Segmentation and Span-based Constituency Parsing

In constituency parsing, span-based decoding is an important direction. ...

0 Zhicheng Wang, et al. ∙

∙ 11/01/2022

Order-sensitive Neural Constituency Parsing

We propose a novel algorithm that improves on the previous neural span-b...

0 Zhicheng Wang, et al. ∙

∙ 10/14/2022

WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments

Recent advances in deep reinforcement learning (RL) have demonstrated co...

0 Xi Chen, et al. ∙

∙ 06/25/2022

Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation

Axie infinity is a complicated card game with a huge-scale action space....

0 Zhiyuan Yao, et al. ∙

∙ 03/03/2022

Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model

In the coming years and decades, autonomous vehicles (AVs) will become i...

0 Tianyu Shi, et al. ∙

∙ 10/13/2021

Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement

Reinforcement learning (RL) is a powerful data-driven control method tha...

0 Tianyu Shi, et al. ∙

∙ 07/06/2020

Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning

Connected and automated vehicles (CAVs) have attracted more and more att...

0 Tianyu Shi, et al. ∙

∙ 04/23/2019

Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning

We apply Deep Q-network (DQN) with the consideration of safety during th...

0 Tianyu Shi, et al. ∙

∙ 04/18/2019

A Data Driven Approach for Motion Planning of Autonomous Driving Under Complex Scenario

To guarantee the safe and efficient motion planning of autonomous drivin...

24 Chenyang Xi, et al. ∙

∙ 01/31/2019

A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle

A reliable controller is critical and essential for the execution of saf...

0 Tianyu Shi, et al. ∙

∙ 08/05/2018

Research on Control Method and Evaluation System of Ground Unmanned Vehicle Formation Transform

In this paper,we design a formation control systrm for multi-unmanned gr...

0 Tianyu Shi, et al. ∙

∙ 06/03/2018

How does climate change influence regional stability

Nowadays, different places have different region stability, which is inf...

0 Tianyu Shi, et al. ∙

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