Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Formerly TIC Reverse Logistics, this strategic move strengthens Assurant’s post-purchase capabilities and advances circular economy solutions across Asia-Pacific markets MELBOURNE, ...

One day in November, a product strategist we’ll call Michelle (not her real name), logged into her LinkedIn account and switched her gender to male. She also changed her name to Michael, she told ...

I asked attendees for their takeaways from this year’s NeurIPS in San Diego. I asked attendees for their takeaways from this year’s NeurIPS in San Diego. is a contributing writer and author of the ...

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

Young people with fewer financial resources, especially boys, are the most exposed to advertising about how to make easy money. So confirms a pioneering study by Pompeu Fabra University (UPF), which ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

A new bill would hold social media platforms responsible for foreseeable algorithmic harms. A new bill would hold social media platforms responsible for foreseeable algorithmic harms. is a senior ...

0267_RL_for_resource_allocation/ ├── src/ # Source code │ ├── agents/ # RL agents implementation │ │ ├── __init__.py │ │ └── agents.py # PPO, SAC, TD3, Policy Gradient │ ├── envs/ # Environment ...

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...