Reinforcement Learning

Definition

A machine learning paradigm in which an agent learns optimal decision-making strategies by interacting with an environment and receiving reward signals. Reinforcement learning is used to develop AI systems for complex sequential decision tasks including trading algorithms, robotics control, game-playing, and supply chain optimisation. Proprietary reinforcement learning systems trained on unique reward environments and operational data represent defensible intangible assets where performance improvements compound over time.