A reinforcement learning environment is a fail-safe digital practice room where an agent can afford to make mistakes and ...
When RL is paired with human oversight, teams can shape how systems learn, correct course when context changes, and ensure ...
4d
Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
For the first time in history, language evolution is partly being steered by machines trained on digital data.
These example notebooks are automatically loaded into SageMaker Notebook Instances. They can be accessed by clicking on the SageMaker Examples tab in Jupyter or the SageMaker logo in JupyterLab.
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Choose the appropriate .yml file for your system. These Anaconda environments use MuJoCo 1.5 and gym 0.10.5. You'll need to get your own MuJoCo key if you want to use MuJoCo. (Optional) If you plan on ...
Abstract: In underwater environments, Autonomous Underwater Vehicles (AUVs) face numerous challenges in executing trajectory tracking tasks due to complex water currents, uncertain obstacle ...
Abstract: The increasing frequency of extreme events and the integration of distributed energy resources (DERs) into modern grids have elevated the need for resilient and efficient critical load ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results