Yang Guan

is this you? claim profile

0 followers

∙

Tsinghua University

Featured Co-authors

Jie Li
143 publications
PetsTime
138 publications
Jie Liu
81 publications
Shengbo Eben Li
30 publications
Qi Sun
25 publications
Jianyu Chen
24 publications
Qian Liu
22 publications
Lin Zhao
22 publications
Bo Cheng
20 publications
Jingliang Duan
18 publications
Yangang Ren
11 publications

∙ 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. ∙

∙ 08/30/2021

Integrated Decision and Control at Multi-Lane Intersections with Mixed Traffic Flow

Autonomous driving at intersections is one of the most complicated and a...

Jianhua Jiang, 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. ∙

∙ 05/22/2021

Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

The safety constraints commonly used by existing safe reinforcement lear...

Haitong Ma, 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. ∙

∙ 03/02/2021

Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function

Model information can be used to predict future trajectories, so it has ...

Haitong Ma, 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. ∙

∙ 02/16/2021

Steadily Learn to Drive with Virtual Memory

Reinforcement learning has shown great potential in developing high-leve...

Yuhang Zhang, et al. ∙

∙ 12/19/2020

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

Safety constraints are essential for reinforcement learning (RL) applied...

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. ∙

∙ 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. ∙

∙ 02/08/2020

CTM: Collaborative Temporal Modeling for Action Recognition

With the rapid development of digital multimedia, video understanding ha...

Qian Liu, 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. ∙

∙ 12/18/2019

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...

Yang Guan, et al. ∙