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Found 3 papers, 1 papers with code
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars
We propose a residual vehicle controller for autonomous racing cars that learns to amend a classical controller for the path-following of racing lines.
Learning to Generate All Feasible Actions
Several machine learning (ML) applications are characterized by searching for an optimal solution to a complex task.
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance
Reliable pedestrian crash avoidance mitigation (PCAM) systems are crucial components of safe autonomous vehicles (AVs).
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