Q-Learning

Reinforcement Learning

सुदृढीकरण सिकाइ

Training an agent to make decisions by rewarding good actions and penalizing bad ones.

Adam Optimizer

एडम अप्टिमाइजर

A widely used optimizer that adapts the learning rate for each parameter.

Greedy Algorithm

लोभी एल्गोरिदम

An approach that makes the best immediate choice at each step, hoping for a good overall result.

Hyperparameter

हाइपरप्यारामिटर

A configuration value set before training that controls how a model learns, like learning rate.

Learning Rate

लर्निङ रेट / सिकाइ दर

A setting that controls how big each step is when a model updates its parameters.

Policy (RL)

नीति (आरएल)

The strategy an agent uses to decide which action to take in each state.

RLHF

आरएलएचएफ (मानव प्रतिक्रियाबाट सुदृढीकरण सिकाइ)

Reinforcement Learning from Human Feedback — using human ratings to align model behavior.

Supervised Learning

पर्यवेक्षित सिकाइ

Training a model on labeled examples so it learns to map inputs to known outputs.