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11/06/2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Proper functioning of connected and automated vehicles (CAVs) is crucial...
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07/01/2022
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning
Decision-making is critical for lane change in autonomous driving. Reinf...
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06/20/2022
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration
Massive practical works addressed by Deep Q-network (DQN) algorithm have...
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01/30/2022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments
An efficient and reliable multi-agent decision-making system is highly d...
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09/26/2021
Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving
Reinforcement learning requires skillful definition and remarkable compu...
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06/23/2021
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving
To further improve the learning efficiency and performance of reinforcem...
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04/15/2021
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving
Due to the limited smartness and abilities of machine intelligence, curr...
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03/19/2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving
Deep reinforcement learning (DRL) is a promising way to achieve human-li...
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10/07/2020
Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning
Human driving behavior modeling is of great importance for designing saf...
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05/19/2020