We celebrate RL breakthroughs, but behind the hype lies a brittle foundation: evaluation. Without it, progress risks being ...
This is reinforcement learning (RL), arguably the biggest driver of AI progress over the past six months and getting more ...
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 field of behavioural psychology investigates the ways in which reinforcement schedules shape actions across both human and non-human subjects. By systematically varying the contingencies of ...
ChatGPT and other AI tools are upending our digital lives, but our AI interactions are about to get physical. Humanoid robots trained with a particular type of AI to sense and react to their world ...
In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...
If you walk down the street shouting out the names of every object you see — garbage truck! bicyclist! sycamore tree! — most people would not conclude you are smart. But if you go through an obstacle ...
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A ...
When it comes to AI, much of the attention has been on deep learning. And for good reason. This part of the AI world has seen great strides, such as with image recognition. But of course, there are ...
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