Lexicon

Reinforcement learning (RL) is a machine learning training method based on rewarding desired behaviours and punishing undesired ones. “Reward” and “punishment” are to be understood in this context as merely numerical values which help the algorithm to find the “best” way to a solution. This approach allows an agent to learn to navigate the complex demands of the specific environment for which it was created so that over time, the agent optimises its behaviours. (more…)