GitHub

PRIME-RL: Async RL Training at Scale

PRIME-RL is a framework for large-scale asynchronous reinforcement learning. It is designed to be easy-to-use and hackable, yet capable of scaling to 1000+ GPUs. Beyond that, here is why we think you ...
GitHub

Zero Shot Reinforcement Learning from Low Quality Data

Figure 1: Conservative zero-shot RL methods suppress the values or measures on actions not in the dataset for all tasks. Black dots represent state-action samples present in the dataset. This work ...
marktechpost

Forget Keyword Imitation: ByteDance AI Maps Molecular Bonds in AI Reasoning to Stabilize ...

ByteDance Seed recently dropped a research that might change how we build reasoning AI. For years, devs and AI researchers have struggled to ‘cold-start’ Large Language Models (LLMs) into Long ...
Des Moines Register

New Iowa tool maps cancer rates by ZIP code, revealing hidden patterns

This story was updated because an earlier version included inaccuracies. People who live in Urbandale's ZIP code 50323 have a breast cancer rate more than two times higher than Iowans who live in Fort ...
Barron's

Labrador Iron Ore Royalty Corp.

About Labrador Iron Ore Royalty Corp. Labrador Iron Ore Royalty Corp. engages in the provision of mining for iron ore. It owns interests in Iron Ore Company of Canada which operates a major iron mine ...
IEEE

Cascaded RL-MPPI Framework for Off-Road Vehicles: Integrating Global Maps and SLAM

Abstract: Autonomous off-road navigation requires coping with unstructured terrain, intermittent obstacles, and tight real-time computational constraints, challenges that often exceed the capabilities ...