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 ...

But another kind of AI — deep reinforcement learning — is strategic. It learns how to take a series of actions in order to reach a goal.

Dublin, Oct. 15, 2019 (GLOBE NEWSWIRE) -- The "Reinforcement Learning - Startup Ecosystem Analysis" report has been added to ResearchAndMarkets.com's offering. Reinforcement learning is the next ...

Reinforcement learning is notoriously renowned for requiring huge amounts of data. For instance, a reinforcement learning agent might need centuries worth of gameplay to master a computer game.

Top-down design of protein architectures with reinforcement learning. Science, 2023; 380 (6642): 266 DOI: 10.1126/science.adf6591 ...