Jingliang Duan

is this you? claim profile

0 followers

∙

National University of Singapore

∙

NetEase, Inc

Featured Co-authors

Jie Li
142 publications
Shengbo Eben Li
30 publications
Qi Sun
25 publications
Jianyu Chen
24 publications
Huei Peng
22 publications
Lin Zhao
22 publications
Bo Cheng
20 publications
Wenxuan Wang
18 publications
Yang Guan
18 publications
Yangang Ren
11 publications
Yao Mu
10 publications

∙ 04/09/2022

Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning

Intersections are quite challenging among various driving scenes wherein...

Yangang Ren, et al. ∙

∙ 10/24/2021

Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow

Reinforcement learning (RL) has been widely adopted to make intelligent ...

Yangang Ren, et al. ∙

∙ 09/12/2021

Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios

In this paper, we propose a new reinforcement learning (RL) algorithm, c...

Jingliang Duan, et al. ∙

∙ 08/26/2021

Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian

Safety is essential for reinforcement learning (RL) applied in the real ...

Baiyu Peng, et al. ∙

∙ 05/24/2021

Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving

In this paper, we propose a new state representation method, called enco...

Jingliang Duan, et al. ∙

∙ 03/18/2021

Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence

Decision and control are two of the core functionalities of high-level a...

Yang Guan, et al. ∙

∙ 03/09/2021

Approximate Optimal Filter for Linear Gaussian Time-invariant Systems

State estimation is critical to control systems, especially when the sta...

Kaiming Tang, et al. ∙

∙ 03/08/2021

Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm

Merging into the highway from the on-ramp is an essential scenario for a...

Yiting Kong, et al. ∙

∙ 02/23/2021

Recurrent Model Predictive Control

This paper proposes an off-line algorithm, called Recurrent Model Predic...

Zhengyu Liu, et al. ∙

∙ 02/23/2021

Mixed Policy Gradient

Reinforcement learning (RL) has great potential in sequential decision-m...

Yang Guan, et al. ∙

∙ 02/17/2021

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning

Safety is essential for reinforcement learning (RL) applied in real-worl...

Baiyu Peng, et al. ∙

∙ 07/14/2020

Ternary Policy Iteration Algorithm for Nonlinear Robust Control

The uncertainties in plant dynamics remain a challenge for nonlinear con...

Jie Li, et al. ∙

∙ 03/03/2020

Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization

Reinforcement learning (RL) is attracting increasing interests in autono...

Lu Wen, et al. ∙

∙ 02/13/2020

Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic

Reinforcement learning (RL) has achieved remarkable performance in a var...

Yangang Ren, et al. ∙

∙ 01/09/2020

Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function

In current reinforcement learning (RL) methods, function approximation e...

Jingliang Duan, et al. ∙

∙ 12/23/2019

Direct and indirect reinforcement learning

Reinforcement learning (RL) algorithms have been successfully applied to...

Yang Guan, et al. ∙

∙ 11/26/2019

Deep adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints

This paper presents a constrained deep adaptive dynamic programming (CDA...

Jingliang Duan, et al. ∙

∙ 09/11/2019

Generalized Policy Iteration for Optimal Control in Continuous Time

This paper proposes the Deep Generalized Policy Iteration (DGPI) algorit...

Jingliang Duan, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world