You're reading from Deep Reinforcement Learning Hands-On. - Second Edition

Product typeBook

Published inJan 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781838826994

Edition2nd Edition

Languages

Python

Tools

Keras TensorFlow

Concepts

Deep Reinforcement Learning

Author (1)

Maxim Lapan

The PTAN CartPole solver

Let's now take the PTAN classes (without Ignite so far) and try to combine everything together to solve our first environment: CartPole. The complete code is in Chapter07/06_cartpole.py. I will show only the important parts of the code related to the material that we have just covered.

net = Net(obs_size, HIDDEN_SIZE, n_actions)
tgt_net = ptan.agent.TargetNet(net)
selector = ptan.actions.ArgmaxActionSelector()
selector = ptan.actions.EpsilonGreedyActionSelector(
    epsilon=1, selector=selector)
agent = ptan.agent.DQNAgent(net, selector)
exp_source = ptan.experience.ExperienceSourceFirstLast(
    env, agent, gamma=GAMMA)
buffer = ptan.experience.ExperienceReplayBuffer(
    exp_source, buffer_size=REPLAY_SIZE)

In the beginning, we create the NN (the simple two-layer feed-forward NN that we used for CartPole before) and target the NN epsilon-greedy action selector and DQNAgent. Then the experience source and replay...

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Deep Reinforcement Learning Hands-On. - Second Edition

Published in: Jan 2020Publisher: PacktISBN-13: 9781838826994

Author (1)

Maxim Lapan

Maxim has been working as a software developer for more than 20 years and was involved in various areas: distributed scientific computing, distributed systems and big data processing. Since 2014 he is actively using machine and deep learning to solve practical industrial tasks, such as NLP problems, RL for web crawling and web pages analysis. He has been living in Germany with his family.
Read more about Maxim Lapan

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You're reading from Deep Reinforcement Learning Hands-On. - Second Edition

The PTAN CartPole solver

Unlock this book and the full library FREE for 7 days

Author (1)

TensorFlow Reinforcement Learning Quick Start Guide

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