by Shahinur | Jun 12, 2024 | Reinforcement Learning
Exploration and Exploitation are two fundamental processes in reinforcement learning. In short, exploration is about learning something new, and exploitation is about making decisions based on known information. Balancing these two is crucial. Exploration Through this...
by Shahinur | Oct 18, 2019 | Machine Learning, Reinforcement Learning
In addition to the agent and the environment, there are four sub-elements: policy, reward, value function, and model. Policy A policy determines how an agent will behave in a specific environment. It is a fundamental component of the agent that can independently...
by Shahinur | Oct 13, 2019 | Reinforcement Learning
Reinforcement Learning is a type of learning process aimed at making decisions in an environment to maximize the amount of reward obtained. It is a trial-and-error method. The most distinctive features of reinforcement learning are trial-and-error and reward. In...
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