How I Study AI - Learn AI Papers & Lectures the Easy Way

Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents

Intermediate

Haiyang Xu, Xi Zhang et al.Feb 15arXiv

This paper builds GUI-Owl-1.5, an AI that can use phones, computers, and web browsers like a careful human helper.

#GUI agent#visual grounding#reinforcement learning

SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training

Intermediate

Huatong Song, Lisheng Huang et al.Feb 3arXiv

SWE-Master is a fully open, step-by-step recipe for turning a regular coding model into a strong software-fixing agent that works across many steps, files, and tests.

#SWE-Master#software engineering agent#long-horizon SFT

ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas

Intermediate

Xiaoyu Tian, Haotian Wang et al.Jan 29arXiv

ASTRA is a fully automated way to train tool-using AI agents by making both their practice stories (trajectories) and their practice worlds (environments) without humans in the loop.

#tool-augmented agents#multi-turn decision making#verifiable environments

Papers3

Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents

SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training

ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas