There are three categories of learning algorithms for RL systems: Policy-based algorithms: This is the most general type of optimization. A policy maps states to actions.

Reinforcement learning (RL) is a powerful type of artificial intelligence technology that can be used to learn strategies to optimally control large, complex systems such as manufacturing plants ...

Didi, China’s Uber equivalent, has been testing out a new algorithm for assigning drivers to riders in select cities. The dispatching system uses reinforcement learning (RL), a subset of machine ...