reinforcement-learning

Published on: Jun 1, 202510 min0Comments

ZeroGUI: Automating GUI Agent Training with Zero Human Cost

This post explores ZeroGUI, an online learning framework that eliminates the need for manual data annotation to train GUI agents, achieving significant performance improvements through automated task generation and reward estimation using Vision-Language Models.

Published on: Mar 7, 20253 min0Comments

QwQ-32B: A Breakthrough in Reinforcement Learning for Large Language Models

Discover how QwQ-32B, a 32-billion-parameter model, leverages reinforcement learning to achieve state-of-the-art performance in reasoning and tool utilization, rivaling models with significantly larger parameter counts.

Published on: Mar 6, 20258 min0Comments

DeepSeek-R1-Zero and DeepSeek-R1: Reinforcement Learning & Fine-Tuning Analysis

A comprehensive breakdown of DeepSeek-R1-Zero and DeepSeek-R1, covering Reinforcement Learning (RL), Supervised Fine-Tuning (SFT), architecture, and performance improvements.

Published on: Feb 13, 20257 min0Comments

Enhancing Competitive Programming with Large Language Models

Explore how reinforcement learning and large language models like OpenAI's o3 are transforming competitive programming, surpassing specialized systems without relying on hand-crafted strategies.

Published on: Nov 10, 20242 min0Comments

AgentMesh A Decentralized Multi-Agent Architecture for General Intelligence

This article introduces AgentMesh, a novel multi-agent architecture developed by Lyzr.ai, designed to foster autonomous learning and collaboration among AI agents, potentially paving the way for general intelligence.

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