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.

So, reinforcement learning algorithms have all the same philosophical limitations as regular machine learning algorithms. These are already well-known by machine learning scientists.

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.

The team set the algorithm to playing a collection of 55 Atari games that has become a standard benchmark for reinforcement learning algorithms. It beat state-of-the-art algorithms in those games ...

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 ...

Gleave and his colleagues used reinforcement learning to train stick-figure bots to play a handful of two-player games, including kicking a ball at a goal, racing across a line, and sumo wrestling.

A new kind of machine-learning algorithm just mastered a couple of throwback video games that have proved to be a big headache for AI. Those following along will know that AI algorithms have ...

For the last few years, Seattle-based software engineer Peter Whidden has been training a reinforcement learning algorithm to navigate the classic first game of the Pokémon series — in that ...