Q-Learning Simulation by Pejman Ebrahimi

Interactive Environment

Agent

Goal (+10)

Obstacle (-5)

Path History

Learning Rate (α) 0.1

How quickly the agent incorporates new information

Discount Factor (γ) 0.9

How much future rewards matter

Exploration Rate (ε) 0.3

Chance of taking random actions

Animation Speed 300ms

How quickly the simulation runs

Learning Mode

Optimal Policy Mode

Episodes

Current Steps

Success Rate

Avg. Steps

Steps per Episode

Rank	Episode	Steps	Reward
No successful episodes yet