Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Andrej Karpathy has long been speaking about the possible pitfall of Reinforcement Learning approaches in getting humanity to ...

Machine learning, a branch of artificial intelligence, allows a computer to teach itself how to solve problems by analyzing ...

The rapid growth in data availability, the vast need for decision-making, and advancements in machine learning and statistics have made data-driven decision-making possible and unprecedentedly importa ...

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most advanced AI systems is far more pigeon than human. In 1943, while the world’s ...

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital ...

The Groq Real-time AI Agent Hackathon on MachineHack challenges developers to build multi-agent AI systems that solve ...