Q-learning is a type of reinforcement learning algorithm that teaches agents how to act in a given environment to maximise rewards over time. It uses a simple but powerful idea: learn from experience ...

Ambuj Tewari receives funding from NSF and NIH. Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a ...

The age of truly autonomous artificial intelligence, where systems proactively learn, adapt and optimize amid real-world complexities instead of simply reacting, has been a long-held aspiration. Now, ...