Machine Learning Glossary/Reinforcement Learning

Verfasst von / Written by Sebastian F. Genter

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• Machine Learning Glossary

This page functions as an index and presents a systematic listing of the entries found in the main glossary or on the main page.

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A

• action
• agent

B

• Bellman equation

C

• critic

D

• Deep Q-Network (DQN)
• DQN

E

• environment
• episode
• epsilon greedy policy
• experience replay

G

• greedy policy

M

• Markov decision process (MDP)
• Markov property

P

• policy

Q

• Q-function
• Q-learning

R

• random policy
• reinforcement learning (RL)
• Reinforcement Learning from Human Feedback (RLHF)
• replay buffer
• return
• reward

S

• state
• state-action value function

T

• tabular Q-learning
• target network
• termination condition
• trajectory