{"iri":"http://lmss.sali.org/RCQ5aTqEDpPwcRvtzkx0T6e","id":"RCQ5aTqEDpPwcRvtzkx0T6e","label":"Reinforcement Learning","definition":"Reinforcement Learning (RL) is a subset of machine learning that enables an artificial system, or agent, to optimize its behavior in a given environment by learning from feedback signals, such as rewards or punishments. The goal is to maximize the cumulative reward received, which is determined by a reward function representing the system's objectives (e.g., answering legal questions, drafting legal documents).","prefLabels":["RL"],"altLabels":[],"examples":[],"notes":[],"sources":[],"branch":{"iri":"http://lmss.sali.org/R9B8sRCK209t5Y8LlU4f62a","label":"Legal Use Cases"},"parents":[{"iri":"http://lmss.sali.org/RBHMad8oNmYXkYHOHZLCgqv","id":"RBHMad8oNmYXkYHOHZLCgqv","label":"AI Lifecycle Systems"}],"children":[],"relations":[],"url":"https://lmss.io/tag/RCQ5aTqEDpPwcRvtzkx0T6e/","source":{"repo":"sali-legal/LMSS","ref":"3f9ac0c9357b2a971582ae79ede243511d47811d","channel":"pre-release"}}