Scientists at U.K.-based AI lab DeepMind argue true artificial intelligence will emerge from sticking to the principle of reward maximization.

Watching last week’s Grok 4 release, one statistic stood out to us. XAI said it spent 10 times as much computational power on ...

For example, Q-learning, a classic type of reinforcement learning algorithm, creates a table of state-action-reward values as the agent interacts with the environment.

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

Reinforcement learning copies a very simple principle from nature. The psychologist Edward Thorndike documented it more than 100 years ago. Thorndike placed cats inside boxes from which they could ...

Reinforcement learning is a fundamental process by which organisms learn to achieve goals from their interactions with the environment. Using Evolutionary Computation techniques we evolve (near) ...

One of the most fascinating examples of reinforcement learning in action I have seen was when Google’s Deep Mind applied the tool to classic Atari computer games such as Break Out.

To make a reinforcement learning program for protein design, the scientists gave the computer millions of simple starting molecules. The software then made ten thousand attempts at randomly ...