Off-Policy Learning
Off-Policy Learning is a reinforcement learning method where the agent learns the value of an optimal policy independently from the actions taken by a different behavior policy.
106 plain-language definitions from the TiorAI glossary, filed under Reinforcement Learning. Every entry opens with a one-sentence definition, then explains where the term is used.
Off-Policy Learning is a reinforcement learning method where the agent learns the value of an optimal policy independently from the actions taken by a different behavior policy.
On-Policy Learning is a reinforcement learning approach where the agent learns the value of the policy it is currently following to make decisions.
One-shot learning is a machine learning approach where a model learns to recognize or classify something using only a single example.
Option is a contract that gives the buyer the right, but not the obligation, to buy or sell an asset at a predetermined price within a specific time frame.