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Autonomous Racing

Papers

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Showing 51–75 of 86 papers

TitleStatusHype
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
Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds—0
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space—0
The Edge of Disaster: A Battle Between Autonomous Racing and Safety—0
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing—0
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution—0
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits—0
Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing—0
Safe Autonomous Racing via Approximate Reachability on Ego-vision—0
Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction—0
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data—0
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions—0
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning—0
A Receding Horizon Approach for Simultaneous Active Learning and Control using Gaussian Processes—0
Large-Scale Multi-Agent Deep FBSDEs—0
Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing—0
Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games—0
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