Yang Guan

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Tsinghua University

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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Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function

Model information can be used to predict future trajectories, so it has ...
03/02/2021 ∙ by Haitong Ma, 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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Steadily Learn to Drive with Virtual Memory

Reinforcement learning has shown great potential in developing high-leve...
02/16/2021 ∙ by Yuhang Zhang, et al. ∙ 0 ∙ share

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Model-Based Actor-Critic with Chance Constraint for Stochastic System

Safety constraints are essential for reinforcement learning (RL) applied...
12/19/2020 ∙ 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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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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CTM: Collaborative Temporal Modeling for Action Recognition

With the rapid development of digital multimedia, video understanding ha...
02/08/2020 ∙ by Qian Liu, et al. ∙ 1 ∙ 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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Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization

Connected vehicles will change the modes of future transportation manage...
12/18/2019 ∙ by Yang Guan, et al. ∙ 0 ∙ share

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Yang Guan

Featured Co-authors

Jie Li

Tao Wang

Jie Liu

Shengbo Eben Li

Qi Sun

Qian Liu

Jingliang Duan

Jianyu Chen

Bo Cheng

Yangang Ren

Yao Mu

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

Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function

Mixed Policy Gradient

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning

Steadily Learn to Drive with Virtual Memory

Model-Based Actor-Critic with Chance Constraint for Stochastic System

Ternary Policy Iteration Algorithm for Nonlinear Robust Control

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

CTM: Collaborative Temporal Modeling for Action Recognition

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

Direct and indirect reinforcement learning

Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization