GitHub

SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization

We introduce SKILL0, an in-context reinforcement learning framework designed for skill internalization. SKILL0 achieves substantial improvements over the standard RL baseline on ALFWorld and Search-QA ...
Inc

Want to Learn to Vibe Code? Start by Making the Video Game of Your Dreams

Vibe coding has sparked a technological revolution, and has produced some of the fastest-growing products in the history of tech, including Claude Code, Codex, Lovable, and Replit. Vibe coding is the ...
IEEE

A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler

Abstract: Code optimization is a crucial task that aims to enhance code performance. However, this process is often tedious and complex, highlighting the necessity for automatic code optimization ...
Forbes

Leadership Amid Uncertainty: CEOs Can Learn Effective Decision Making From Reinforcement Learning

Leaders, whether in boardrooms or garages, constantly face an unchanging force: uncertainty. For a CEO, making a good decision always involves factoring in as much data as possible, and then trusting ...
marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...
Microsoft

Argos: Multimodal reinforcement learning with agentic verifier for AI agents

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...
Hosted on MSN

Watch an AI learn to balance a stick — reinforcement learning in action

Watch an AI agent learn how to balance a stick—completely from scratch—using reinforcement learning! This project walks you through how an algorithm interacts with an environment, learns through trial ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
Science Daily

Scientists shocked as bumblebees learn to read simple “Morse code”

In a first-of-its-kind study, scientists found that bumblebees can tell the difference between short and long light flashes, much like recognizing Morse code. The insects learned which signal led to a ...