Ever since researchers began noticing a slowdown in improvements to large language models using traditional training methods, ...

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.

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

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) ...

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 ...