2025-05-11
Stanford researchers find AI agents improve when guided by past successes
A new study from Stanford University finds that AI agents can get much better at solving complex tasks simply by learning from their own successful experiences.
The article Stanford researchers find AI agents improve when guided by past successes appeared first on THE DECODER.
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2025-10-08
New memory framework builds AI agents that can handle the real world's unpredictability
Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a m [...]
2025-10-12
We keep talking about AI agents, but do we ever know what they are?
Imagine you do two things on a Monday morning.First, you ask a chatbot to summarize your new emails. Next, you ask an AI tool to figure out why your top competitor grew so fast last quarter. The AI si [...]
2025-10-28
GitHub's Agent HQ aims to solve enterprises' biggest AI coding problem: Too many agents, no central control
GitHub is making a bold bet that enterprises don't need another proprietary coding agent. They need a way to manage all of them.At its Universe 2025 conference, the Microsoft-owned developer plat [...]
2025-10-29
The missing data link in enterprise AI: Why agents need streaming context, not just better prompts
Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]
2025-08-06
Gemini's new Guided Learning mode can quiz students and create interactive study aids
Google is updating Gemini to make it a better education tool with a new feature called Guided Learning. Like similar learning-focused updates to ChatGPT and Claude, Guided Learning tries to promote un [...]
2025-10-14
Visa just launched a protocol to secure the AI shopping boom — here’s what it means for merchants
Visa is introducing a new security framework designed to solve one of the thorniest problems emerging in artificial intelligence-powered commerce: how retailers can tell the difference between legitim [...]
2025-10-14
EAGLET boosts AI agent performance on longer-horizon tasks by generating custom plans
2025 was supposed to be the year of "AI agents," according to Nvidia CEO Jensen Huang, and other AI industry personnel. And it has been, in many ways, with numerous leading AI model provider [...]
2025-10-23
Google's 'Watch & Learn' framework cracks the data bottleneck for training computer-use agents
A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at sc [...]