A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

To boost the reliability of reinforcement learning models for complex tasks with variability, MIT researchers have introduced a more efficient algorithm for training them. The findings are ...

This shall be due to the rise of Deep Reinforcement Learning (RL) as a prominent algorithm for such problems. RL, in essence, is mimicking what humans do. Let’s take the example of a kid ...

Learn More Researchers have proposed a method for allowing reinforcement learning algorithms to accumulate knowledge while erring on the side of caution. The team, which hails from the University ...

Learn More DeepMind this week released Acme, a framework intended to simplify the development of reinforcement learning algorithms by enabling AI-driven agents to run at various scales of execution.

To address this challenge, the team used reinforcement learning, a technique involving a combination of computational rewards and punishments, to train an algorithm. This algorithm will be ...