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.
| Identifier | MLC-T-OAG-003091 |
|---|---|
| Field | Oil and gas |
| Subject | Digital |
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/"
}
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