Q-Learning with Basic Emotions

Understand

Q-learning is a simple and powerful tool in solving dynamic problems where environments are unknown.

• It uses a balance of exploration and exploitation to find an optimal solution to the problem.
• In this paper, we propose using four basic emotions: joy, sadness, fear, and anger to influence a Qlearning agent.
• Simulations show that the proposed affective agent requires lesser number of steps to find the optimal path.