The book starts with an introduction to Reinforcement Learning followed by OpenAI and Tensorflow. You will then explore various RL algorithms and concepts such as the Markov Decision Processes, Monte-Carlo methods, and dynamic programming, including value and policy iteration.
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Lake Tsomgo Tsomgo Lake, also known as Tsongmo Lake or Changu Lake, is a glacial lake in the East Sikkim district of the Indian state of Sikkim, some 40 km from the capital Gangtok. Located at an elevation of 3753 m, the lake remains frozen during the winter season.
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If you haven't understood anything we have learned so far, don't worry, we will look at all the concepts along with a frozen lake problem. Imagine there is a frozen lake stretching from your home to your office; you have to walk on the frozen lake to reach your office. But oops! There are holes in the frozen lake so you have to be careful while ...
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Nov 06, 2018 · As an example, we tried to create an agent to solve the frozen lake exercise. We implemented the State-Action-Reward-State-Action — or SARSA — algorithm, an RL strategy that learns how to perform a task. [Related Article: Deep Learning with Reinforcement Learning]
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When we last left off, we covered the Q learning algorithm for solving the cart pole problem from the OpenAI Gym. Related to Q learning is the SARSA algorith...