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Autonomous Racing

Papers

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Showing 26–50 of 86 papers

TitleStatusHype
Fast and Modular Autonomy Software for Autonomous Racing Vehicles—0
A Simulation Benchmark for Autonomous Racing with Large-Scale Human DataCode2
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo—0
Conformal Off-Policy Prediction for Multi-Agent Systems—0
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay—0
Learning Local Control Barrier Functions for Hybrid SystemsCode1
Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE Vehicle—0
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum LearningCode0
Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing—0
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing—0
Racing With ROS 2 A Navigation System for an Autonomous Formula Student Race CarCode1
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing—0
er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds—0
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning—0
Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem—0
End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing—0
Towards Optimal Head-to-head Autonomous Racing with Curriculum Reinforcement Learning—0
A Scenario-Based Functional Testing Approach to Improving DNN Performance—0
Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning—0
Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes—0
Sense, Imagine, Act: Multimodal Perception Improves Model-Based Reinforcement Learning for Head-to-Head Autonomous Racing—0
RAPID: Autonomous Multi-Agent Racing using Constrained Potential Dynamic Games—0
MEGA-DAgger: Imitation Learning with Multiple Imperfect ExpertsCode0
Residual Policy Learning for Vehicle Control of Autonomous Racing CarsCode0
Physics Constrained Motion Prediction with Uncertainty Quantification—0
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