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10/19/2022
Integrated Decision and Control for High-Level Automated Vehicles by Mixed Policy Gradient and Its Experiment Verification
Self-evolution is indispensable to realize full autonomous driving. This...
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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...
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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...
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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 ...
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05/22/2021
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety
The safety constraints commonly used by existing safe reinforcement lear...
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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...
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03/09/2021
Approximate Optimal Filter for Linear Gaussian Time-invariant Systems
State estimation is critical to control systems, especially when the sta...
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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...
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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 ...
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02/23/2021
Mixed Policy Gradient
Reinforcement learning (RL) has great potential in sequential decision-m...
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02/17/2021
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning
Safety is essential for reinforcement learning (RL) applied in real-worl...
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02/16/2021
Steadily Learn to Drive with Virtual Memory
Reinforcement learning has shown great potential in developing high-leve...
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12/19/2020
Model-Based Actor-Critic with Chance Constraint for Stochastic System
Safety constraints are essential for reinforcement learning (RL) applied...
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07/14/2020
Ternary Policy Iteration Algorithm for Nonlinear Robust Control
The uncertainties in plant dynamics remain a challenge for nonlinear con...
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02/13/2020
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic
Reinforcement learning (RL) has achieved remarkable performance in a var...
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02/08/2020
CTM: Collaborative Temporal Modeling for Action Recognition
With the rapid development of digital multimedia, video understanding ha...
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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...
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12/23/2019
Direct and indirect reinforcement learning
Reinforcement learning (RL) algorithms have been successfully applied to...
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12/18/2019
