AI Simulator

Epsilon (ε) is probability of random movement.

It is used in the epsilon-greedy strategy to perform epsilon decay.

Example

0 (0%) means no random moves, completely deterministic. 1 (100%) means completely random moves.

A model with high epsilon will make more random moves, this is useful for learning at the start. A model with low epsilon will make fewer random moves, this is useful for getting good result at the end.

Further readings

• Epsilon Greedy in Deep Q Learning
• Epsilon-Greedy Q-learning
• Epsilon and learning rate decay in epsilon greedy q learning - Stack Overflow

Interactive demos

• PuckWorld: Deep Q Learning