LLM Agents: Breakthroughs in General Computer Control
2025-02-22
Recent years have witnessed significant advancements in LLM-powered agents for computer control. From simple web navigation to complex GUI interaction, a plethora of novel reinforcement learning approaches and frameworks have emerged. Researchers explore model-based planning, autonomous skill discovery, and multi-agent collaboration to enhance agent autonomy and efficiency. Some projects focus on specific platforms (e.g., Android, iOS), while others aim to build general-purpose computer control agents. These breakthroughs pave the way for more powerful and intelligent AI systems, foreshadowing a future where agents play a much larger role in daily life.
AI
Agents