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 ...

WiMi's deep reinforcement learning-based task scheduling algorithm in cloud computing includes state representation, action selection, reward function and training and optimization of the algorithm.

Research suggests AI trading bots can learn to collude without being programmed to do so, potentially driving up your ...

This issue has now been addressed. Li Hang's newly launched book 'Machine Learning Methods (2nd Edition)' dedicates a chapter ...

Neuroscientist Daeyeol Lee discusses different modes of reinforcement learning in humans, animals, and AI, and future directions of research.

The RL model delivers almost the same cost and efficiency outcomes as the MILP optimizer, but with dramatically lower ...

MILPITAS, Calif.--(BUSINESS WIRE)--Bigfoot Biomedical (Bigfoot), a leader in developing intelligent connected injection support systems, today announced the acquisition of a reinforcement learning ...

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonogloux, Matthew Lai, Arthur Guez, Marc ...

The development of every field relies on a few foundational classic books, and artificial intelligence is no exception.