Reinforcement Learning: Mastering The Art Of Delayed Gratification
Reinforcement learning (RL) is rapidly transforming how we approach complex decision-making problems, from self-driving cars navigating unpredictable streets to optimizing complex supply chains and even powering sophisticated gaming AI. It’s a branch of machine learning where an agent learns to make decisions by interacting with an environment, receiving rewards or penalties for its actions. This trial-and-error process allows the agent to gradually improve its strategy, leading to optimal behavior. Intrigued? Let's dive deeper into the exciting world of reinforcement learning.
What is Reinforcement Learning?
Reinforcement learning differs fundamentally from supervised and unsupervised learning. In supervised learning, you train a model using labeled data. Unsupervised learning, on the oth...
