Jingliang Duan

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Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence

Decision and control are two of the core functionalities of high-level a...
03/18/2021 ∙ by Yang Guan, et al. ∙ 3 ∙ share

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Approximate Optimal Filter for Linear Gaussian Time-invariant Systems

State estimation is critical to control systems, especially when the sta...
03/09/2021 ∙ by Kaiming Tang, et al. ∙ 0 ∙ share

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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...
03/08/2021 ∙ by Yiting Kong, et al. ∙ 0 ∙ share

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Recurrent Model Predictive Control

This paper proposes an off-line algorithm, called Recurrent Model Predic...
02/23/2021 ∙ by Zhengyu Liu, et al. ∙ 0 ∙ share

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Mixed Policy Gradient

Reinforcement learning (RL) has great potential in sequential decision-m...
02/23/2021 ∙ by Yang Guan, et al. ∙ 13 ∙ share

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Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning

Safety is essential for reinforcement learning (RL) applied in real-worl...
02/17/2021 ∙ by Baiyu Peng, et al. ∙ 0 ∙ share

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Ternary Policy Iteration Algorithm for Nonlinear Robust Control

The uncertainties in plant dynamics remain a challenge for nonlinear con...
07/14/2020 ∙ by Jie Li, et al. ∙ 0 ∙ share

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Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization

Reinforcement learning (RL) is attracting increasing interests in autono...
03/03/2020 ∙ by Lu Wen, et al. ∙ 0 ∙ share

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

Reinforcement learning (RL) has achieved remarkable performance in a var...
02/13/2020 ∙ by Yangang Ren, et al. ∙ 0 ∙ share

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

In current reinforcement learning (RL) methods, function approximation e...
01/09/2020 ∙ by Jingliang Duan, et al. ∙ 0 ∙ share

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Direct and indirect reinforcement learning

Reinforcement learning (RL) algorithms have been successfully applied to...
12/23/2019 ∙ by Yang Guan, et al. ∙ 0 ∙ share

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

This paper presents a constrained deep adaptive dynamic programming (CDA...
11/26/2019 ∙ by Jingliang Duan, et al. ∙ 0 ∙ share

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Generalized Policy Iteration for Optimal Control in Continuous Time

This paper proposes the Deep Generalized Policy Iteration (DGPI) algorit...
09/11/2019 ∙ by Jingliang Duan, et al. ∙ 0 ∙ share

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Jingliang Duan

Featured Co-authors

Jie Li

Shengbo Eben Li

Qi Sun

Huei Peng

Yang Guan

Jianyu Chen

Bo Cheng

Monimoy Bujarbaruah

Wenxuan Wang

Zhenzhong Jia

Yangang Ren

Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence

Approximate Optimal Filter for Linear Gaussian Time-invariant Systems

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

Recurrent Model Predictive Control

Mixed Policy Gradient

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning

Ternary Policy Iteration Algorithm for Nonlinear Robust Control

Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization

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

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

Direct and indirect reinforcement learning

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

Generalized Policy Iteration for Optimal Control in Continuous Time