level: Reinforcement Learning
Questions and Answers List
level questions: Reinforcement Learning
| Question | Answer |
|---|---|
| REINFORCEMENT LEARNING | Reinforcement Learning(RL) is a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences. |
| REINFORCEMENT LEARNING ALGORITHMS | Value-Based, Policy-based, Model-Based |
| LEARNING MODELS OF REINFORCEMENT | Markov Decision Process, Q learning |
| TYPES OF REINFORCEMENT LEARNING | Positive and Negative |
| Q LEARNING | Q learning is a value-based method of supplying information to inform which action an agent should take. |