Reinforcement Learning
Reinforcement learning (RL) differs from supervised learning in not needing labelled input/output pairs be presented, and in not needing sub-optimal actions to be explicitly corrected. Instead the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge). Partially supervised RL algorithms can combine the advantages of supervised and RL algorithms.
Source: Reinforcement Learning | Wikipedia︎
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Other Links ︎︎︎
- Reinforcement Learning Algorithms | Medium / SmartLab AI
- Reinforcement Learning | Scholarpedia
- Reinforcement Learning | Guru99
- Reinforcement Learning | YouTube
- An Introduction to Reinforcement Learning | YouTube
- Reinforcement Learning 101 | Medium / Towards Data Science
- What Is Reinforcement Learning | deepsense.ai