MLchartDataset catalogue

Reinforcement learning

Term · Oil and gas · MLC-T-OAG-003091

A type of machine learning where an agent learns to make decisions by interacting with an environment to maximize a cumulative reward. It involves trial-and-error exploration, where the agent receives feedback for its actions without explicit programming. This approach finds applications in areas like autonomous drilling, reservoir management, and predictive maintenance.

Table 1. Record
IdentifierMLC-T-OAG-003091
FieldOil and gas
SubjectDigital
Record as JSON
{
  "id": "MLC-T-OAG-003091",
  "term": "Reinforcement learning",
  "field": "Oil and gas",
  "definition": "A type of machine learning where an agent learns to make decisions by interacting with an environment to maximize a cumulative reward. It involves trial-and-error exploration, where the agent receives feedback for its actions without explicit programming. This approach finds applications in areas like autonomous drilling, reservoir management, and predictive maintenance.",
  "subject": "Digital",
  "url": "https://mlchart.com/terminology/oil-and-gas/reinforcement-learning/"
}

Record 3,293 of 4,469 in Oil and gas terminology (MLC-0103). Request the full dataset.