April 2018
Intermediate to advanced
334 pages
10h 18m
English
Content preview from Reinforcement Learning with TensorFlow
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Deep Q-network for Cartpole problem in OpenAI gym
The Cartpole is one the simplest problems in an MDP environment, as shown in the following screenshot. It consist of a cart that moves in a horizontal axis with a pole anchored at the center of the cart, which rotates. The goal is to take actions in such a way that the pole remains near to vertical and not rotate down.
A state in a cart pole environment is a 4-dimensional continuous space where each dimension is as follows:
- x: It denotes the cart position (minimum = -2.4, maximum = 2.4)
- x_dot: Denotes the cart velocity (minimum = -, maximum = )
- theta: Shows the angle in radians (minimum = ...
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