Artificial intelligence (AI) has become a foundational technology in the development of autonomous vehicles (Garikapati Shetiya, 2024), enabling these systems to perceive their environment, make ...

Abstract: Model Predictive Control (MPC) method is widely used in autonomous vehicle control technology. The adjustment of MPC weights is crucial for optimizing its control performance, ensuring ...

Abstract: The implementation of autonomous driving is inseparable from developing intelligent driving decision-making models, which are facing high scene complexity, poor decision-making coupling, and ...

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...

Minister of Land, Infrastructure and Transport Kim Yoon-duck held a meeting with domestic experts in autonomous driving ...

This project contains the source code and data for the paper titled "Dense reinforcement learning for safety validation of autonomous vehicles". Feng, S., Sun, H ...

For agentic systems to improve, organizations need a way to capture organizational knowledge and make it reusable. In many ...

EE-RL/ ├─ train.py # Training entry ├─ eval.py # Evaluation entry ├─ config.py # Configuration and algorithm parameters ├─ eval_plots.py # Plotting and summary ├─ utils.py # Utilities ├─ ...

Operating from Auburn University’s GPS and Vehicle Dynamics Laboratory (GAVLAB), the Autonomous Tiger Racing (ATR) team ...

Chief Minister Conrad K Sangma on Thursday inaugurated the Meghalaya Teacher Training Academy and a new boarding facility at ...

Companies are investing in AI agents and cutting staff, but talented professionals will find new opportunities.