Disney Imagineering is using a branch of AI called reinforcement learning, which is an area of machine learning involving ...

Reinforcement learning was part of the algorithms that were integral to achieving breakthrough results with chess, protein folding and Atari games. Likewise, OpenAI trained deep reinforcement ...

Reinforcement learning is one of the most discussed, followed and contemplated topics in artificial intelligence (AI) as it has the potential to transform most businesses.

Reinforcement learning is notoriously renowned for requiring huge amounts of data. For instance, a reinforcement learning agent might need centuries worth of gameplay to master a computer game.

Reinforcement learning has been around for decades, but for a while it seemed like a dead end. One of your old advisers in fact told me that she tried to dissuade you from working on it.

Reinforcement learning is also being used to improve the reasoning capabilities of chatbots. Reinforcement learning’s origins. However, none of these successes could have been foreseen in the 1980s.

Reinforcement learning with human feedback is critical to not only ensuring the model’s alignment, it’s crucial to the long-term success and sustainability of generative AI as a whole.

The results show that reinforcement learning can do more than master board games. When trained to solve long-standing puzzles in protein science, the software excelled at creating useful molecules.

Reinforcement learning quantifies the change in behaviour in response to past experience. Using field goal attempt data from basketball, Neiman and Loewenstein demonstrate that even one failed or ...