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Aug 23, 2018 · The 20 Questions (Q20) game is a well known game which encourages deductive reasoning and creativity. In the game, the answerer first thinks of ...
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Nov 17, 2020 · As the agent tries out different actions at different states through trial and error, the agent learns each state-action pair's expected reward ...
Jul 7, 2021 · Implementing Deep Q Learning. We will be using an epsilon-greedy algorithm for choosing the best action, where there is an epsilon chance of ...
Dec 19, 2020 · Q Learning builds a Q-table of State-Action values, with dimension (s, a), where s is the number of states and a is the number of actions.
Duration: 38:55
Posted: Mar 22, 2020
Posted: Mar 22, 2020
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Aug 17, 2020 · I'm tuning a deep learning model for a learner of Space Invaders game (image below). The state is defined as relative eucledian distance between ...
Deep learning interview questions for recent graduates, engineering, computer vision, NLP, and advanced applications.
Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the ...
Dec 14, 2023 · In this article, I will introduce one such approach known as Deep Q-learning (DQN). DQN utilizes a neural network to efficiently estimate state ...
In this section, we will look at Q-Learning (Watkins and Dayan, 1992) which is an algorithm to learn the value function without necessarily knowing the MDP.