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 ...

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 ...

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 ...