AF-DQN: A Large-Scale Decision-Making Method at Unsignalized Intersections with Safe Action Filter and Efficient Exploratory Training Strategy
Author:
Affiliation:
1. Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588826.pdf?arnumber=10588826
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1. Automated Vehicles, On-Demand Mobility, and Environmental Impacts
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3. Multi-Agent Decision-Making Modes in Uncertain Interactive Traffic Scenarios via Graph Convolution-Based Deep Reinforcement Learning
4. Learning faster to perform autonomous lane changes by constructing maneuvers from shielded semantic actions
5. Interpretable Decision-Making for Autonomous Vehicles at Highway On-Ramps With Latent Space Reinforcement Learning
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