What are the best practices in reinforcement learning?

What are the best practices in reinforcement learning?

Some best practices include defining clear objectives, using reward shaping, and ensuring sufficient exploration.

Can you explain reward shaping?

Reward shaping involves modifying the reward signal to make learning more efficient, guiding the agent towards desired behaviors.

What is the importance of exploration in reinforcement learning?

Exploration is crucial as it allows the agent to discover new strategies and avoid local optima, leading to better overall performance.

How do I balance exploration and exploitation?

You can use strategies like epsilon-greedy or Upper Confidence Bound (UCB) to balance exploration and exploitation effectively.