Over the weekend, I decided to play around with a simplified version of a federated Q-learning algorithm. Inspired by recent research on Fed-DVR-Q, I built a small simulation where multiple agents learn to navigate a maze using Q-learning. The twist? The agents share their learned Q-tables periodically—mimicking intermittent communication in a federated learning setup. In…
Self-Reflecting AI Agents: A Deep Dive into Current Research, Benefits, Risks, and Ethical Considerations
The evolution of artificial intelligence has brought us to an exciting frontier: self-reflecting AI agents. These sophisticated systems are revolutionizing how AI learns and adapts, marking a significant leap forward from traditional, rule-based approaches. As an AI engineer, understanding this emerging technology is crucial for staying at the forefront of innovation. Current State of Research…
The Future of Web Development: AI-Human Collaboration
The landscape of web development is dramatically transforming, driven by the rise of artificial intelligence (AI). While AI coding tools capture headlines, AI-human collaboration is the true revolution. This new paradigm empowers developers to work alongside AI, leveraging each other’s strengths to build websites and applications faster and more efficiently than ever. This shift from…