How does reinforcement learning improve AI agents?

[Christian11]

Reinforcement learning (RL) allows AI agents to learn from trial and error. It uses a reward-based system where the agent receives positive feedback for good decisions and negative feedback for mistakes. This approach is beneficial in robotics, gaming, and decision-making systems, enabling AI agents to optimize performance through experience.



SOURCE: https://www.inoru.com/ai-agent-development-company