AI algorithms for deep-reinforcement learning have demonstrated the ability to learn at very high levels in constrained domains.

Google DeepMind, which is famous as the developer of AlphaGo, has announced AI `` AlphaDev '' that applies deep reinforcement learning to improve various computing algorithms. At the same time, a ...

Reinforcement learning focuses on rewarding desired AI actions and punishing undesired ones. Common RL algorithms include State-action-reward-state-action, Q-learning, and Deep-Q networks. RL ...

The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used ...

Recently, researchers proposed a reinforcement learning-based initialization strategy that successfully overcomes the common 'desert plateau' problem in Variational Quantum Algorithms (VQA). This ...

In my work as an AI researcher, I use reinforcement learning to create AI algorithms that learn how to solve puzzles such as the Rubik’s Cube.

In 2020, we shall see inequity broken down due to the rise of Deep Reinforcement Learning (RL) as a prominent algorithm.

Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently ...