Exploration vs Exploitation in RL Explained

Tue, 13 May 2025 03:59:40 +0000

Reinforcement learning (RL) is a branch of machine learning where agents learn through trial and error by interacting with an environment. They take actions and receive feedback in the form of rewards or penalties. Over time, the agent improves its behavior to maximize long-term reward.