Self-Play Reinforcement Learning for Superintelligent Agents

This research explores a novel approach to training superintelligent agents using self-play within the framework of Reinforcement Learning. The methodology has significant implications for advancing artificial intelligence and could potentially lead to breakthroughs in complex problem-solving.

• •Focuses on self-play as a training method.
• •Applies Reinforcement Learning principles.
• •Aims to create Superintelligent Agents.