In reinforcement learning, what term describes the dilemma of choosing between trying out new actions and sticking with known actions that work?
- Exploration-Exploitation Dilemma
- Action Selection Dilemma
- Reinforcement Dilemma
- Policy Dilemma
The Exploration-Exploitation Dilemma is the challenge of balancing exploration (trying new actions) with exploitation (using known actions). It's crucial in RL for optimal decision-making.
Loading...
Related Quiz
- How do activation functions, like the ReLU (Rectified Linear Unit), contribute to the operation of a neural network?
- When a model is trained on one task and the learned features are used as a starting point for a model on a second task, it's known as ________.
- What is the primary reason for using Random Forests over a single Decision Tree in many applications?
- Hierarchical clustering that starts with each data point as its own cluster and gradually merges them is termed as ________ hierarchical clustering.
- In a neural network, what are the nodes that receive input data and pass it forward called?