Learning automata constitute a branch of reinforcement learning that enables algorithms to iteratively refine their actions through continual interaction with uncertain, or stochastic, environments.

Researchers at the University of Michigan’s Robotics Department and the Southern University of Science and Technology in China published a research paper discussing the use of discrete-time hybrid ...

A new survey paper describing Micron’s Automata Processor (AP) was recently published. AP has many potential applications in data mining, bioinformatics, natural language processing, etc. Micron has ...