You're reading from TensorFlow 2 Reinforcement Learning Cookbook

Product typeBook

Published inJan 2021

Reading LevelExpert

PublisherPackt

ISBN-139781838982546

Edition1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Reinforcement Learning

Author (1)

Palanisamy P

Building an advanced cryptocurrency trading platform for RL agents

Instead of allowing the Agent to only take discrete actions, such as buying/selling/holding a pre-set amount of Bitcoin or Ethereum tokens, what if we allowed the Agent to decide how many crypto coins/tokens it would like to buy or sell? That is exactly what this recipe will allow you to create in the form of a CryptoTradingVisualContinuousEnv RL environment.

Getting ready

To complete this recipe, you need to ensure you have the latest version. You will need to activate the tf2rl-cookbook Python/conda virtual environment. Make sure that you update the environment so that it matches the latest conda environment specification file (tfrl-cookbook.yml), which can be found in this cookbook's code repository. If the following import statements run without any issues, you are ready to get started:

import os
import random
from typing import Dict
import cv2
import gym
import numpy as np
import pandas as pd
from...

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TensorFlow 2 Reinforcement Learning Cookbook

Published in: Jan 2021Publisher: PacktISBN-13: 9781838982546

Author (1)

Palanisamy P

Praveen Palanisamy works on developing autonomous intelligent systems. He is currently an AI researcher at General Motors R&D. He develops planning and decision-making algorithms and systems that use deep reinforcement learning for autonomous driving. Previously, he was at the Robotics Institute, Carnegie Mellon University, where he worked on autonomous navigation, including perception and AI for mobile robots. He has experience developing complete, autonomous, robotic systems from scratch.
Read more about Palanisamy P

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You're reading from TensorFlow 2 Reinforcement Learning Cookbook

Building an advanced cryptocurrency trading platform for RL agents

Getting ready

Unlock this book and the full library FREE for 7 days

Author (1)

Hands-On Intelligent Agents with OpenAI Gym

TensorFlow Reinforcement Learning Quick Start Guide

Deep Reinforcement Learning with Python

Hands-On Reinforcement Learning with Python

Reinforcement learning is a self-evolving type of machine learning that takes us closer to achieving true artificial intelligence. This easy-to-follow guide explains everything from scratch using rich examples written in Python.

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Mastering Reinforcement Learning with Python

Reinforcement Learning with TensorFlow

Reinforcement Learning Algorithms with Python

The Reinforcement Learning Workshop

Hands-On Reinforcement Learning for Games

Python Reinforcement Learning Projects

Deep Reinforcement Learning Hands-On

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