Deep Reinforcement Learning
Machine Learning · Further Education · Reinforcement Learning
Deep Reinforcement Learning is a subfield of Machine Learning that uses deep neural networks to represent the value function or policy. This unit will introduce the fundamental concepts of Deep Reinforcement Learning, including deep Q-learning, policy gradients, and actor-critic methods.
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Das gehört dazu
- Introduction to Deep Reinforcement Learning
- Deep Q-Learning
- Policy Gradients
- Actor-Critic Methods
- Exploration and Exploitation
- Challenges of Deep Reinforcement Learning
- Applications of Deep Reinforcement Learning
Stichworte
- Deep Reinforcement Learning
- Value Function
- Policy
- Reward
- Environment
- Agent
- Exploration
- Exploitation