이 페이지의 최신 내용은 아직 번역되지 않았습니다. 최신 내용은 영문으로 볼 수 있습니다.
심층 신경망을 이용한 강화 학습에 적용할 정책과 가치 함수 표현식을 작성할 수 있습니다. 그런 다음 Reinforcement Learning Toolbox™를 사용하여 이러한 신경망을 훈련시킬 수 있습니다. 자세한 내용은 What Is Reinforcement Learning? (Reinforcement Learning Toolbox), Create Policy and Value Function Representations (Reinforcement Learning Toolbox) 및 Train Reinforcement Learning Agents (Reinforcement Learning Toolbox) 항목을 참조하십시오.
Create Simulink Environment and Train Agent
Train a controller using reinforcement learning with a plant modeled in Simulink® as the training environment.
Create Agent Using Deep Network Designer and Train Using Image Observations
Create a reinforcement learning agent using the Deep Network Designer app from the Deep Learning Toolbox™.
Train DDPG Agent to Swing Up and Balance Pendulum with Image Observation
Train a reinforcement learning agent using an image-based observation signal.
Train DQN Agent for Lane Keeping Assist Using Parallel Computing
Train a reinforcement learning agent for a lane keeping assist application.