Artificial Intelligence
33 views
Reinforcement Learning
Quick Definition
Learning through trial and error with reward feedback
Full Definition
A type of ML where an agent learns to make decisions by maximizing cumulative reward through trial and error.
Examples
game AI, robotics, resource management
Related Terms
q-learning
policy-gradient
More Artificial Intelligence Terms
Zero-Shot Learning
Performing tasks on unseen classes without training examples
Federated Learning
Distributed ML training without sharing raw data
In-Context Learning
LLMs learning new tasks from prompt examples without weight updates
Explainable AI
AI that provides understandable explanations for decisions
Knowledge Graph
Structured graph of entities and their relationships
Recurrent Neural Network
Neural network with cyclic connections for sequence processing