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...
by Shahinur | Sep 2, 2019 | Deep Learning, Machine Learning
Being with Deep Learning for a long time requires installing different packages or third-party software. But working in the GPU can sometimes lead to many problems. Basically the problem is with the version. That’s why I thought I’d write a note. However,...
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