From Research To Reality: How RL Environments Can Unlock The Next Wave Of AI Agents

A reinforcement learning environment is a fail-safe digital practice room where an agent can afford to make mistakes and ...

Where Reinforcement Learning Plus Human Oversight Works Best

When RL is paired with human oversight, teams can shape how systems learn, correct course when context changes, and ensure ...
The Daily Star

Bangla in the age of algorithms

For the first time in history, language evolution is partly being steered by machines trained on digital data.
GitHub

Example Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using Amazon SageMaker.

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.
GitHub

LeeChiAnn/rlkit_RL_Algorithm

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 ...
IEEE

Enhancing Distribution System Resilience: A First-Order Meta-RL algorithm for Critical Load Restoration

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 ...
IEEE

A Reinforcement Learning Embedded Surrogate Lagrangian Relaxation Method for Fast Solving Unit Commitment Problems

Abstract: Unit commitment problems are operation optimization problems solved by independent system operators (ISOs). These problems generally need to be solved within a limited time, and the quality ...