Reinforcement learning is a type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize cumulative reward. It involves trial and error, exploration, and exploitation to develop an optimal strategy or policy for decision-making tasks.

Reinforcement Learning

Reinforcement learning

Machine learning is a subset of artificial intelligence that involves the use of algorithms and statistical models to enable computers to improve their performance on a task through experience. It leverages data to train models that can make predictions or decisions without being explicitly programmed for specific tasks.

machine learning

agent learns

make decisions

taking actions

The environment encompasses all living and non-living things occurring naturally, interacting as a complex system that sustains life on Earth. It is crucial for providing resources, regulating climate, and supporting biodiversity, making its preservation vital for future generations.

environment

maximize cumulative reward

Trial and error is a problem-solving method that involves testing various solutions until finding one that works, often used when there is no clear path to a solution. It is a fundamental learning process in both humans and animals, fostering innovation and adaptation through iterative experimentation.

trial and error

Exploration is the act of traveling through unfamiliar areas to discover new information, resources, or territories, often driven by curiosity, necessity, or ambition. It plays a critical role in expanding human knowledge and understanding, influencing cultural exchange, scientific advancement, and economic development.

exploration

Exploitation refers to the unfair use of someone or something for one's own advantage, often without proper compensation or consideration of the exploited party's welfare. It is a central issue in discussions about labor rights, economic inequality, and ethical business practices, highlighting power imbalances and the need for equitable treatment.

exploitation

An optimal strategy is a decision-making plan that maximizes expected outcomes or minimizes potential losses in a given scenario, often under constraints. It requires analyzing all possible actions, outcomes, and probabilities to ensure the best possible result is achieved in competitive or uncertain environments.

optimal strategy

policy for decision-making tasks

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