P / Praveen Hands-On Intelligent Agents with OpenAI Gym

Your guide to developing AI agents using deep reinforcement learning
1. Auflage 2018
ISBN: 978-1-78883-513-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 254 Seiten

No detailed description available for "Hands-On Intelligent Agents with OpenAI Gym".

Autoren/Hrsg.

P, Palanisamy

Palanisamy, Praveen

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

Table of Contents - Introduction to Intelligent Agents and Learning Environments
- Reinforcement Learning and Deep Reinforcement Learning
- Getting Started with OpenAI Gym and Deep Reinforcement Learning
- Exploring the Gym and its Features
- Implementing your First Learning Agent
- Implementing an Intelligent Agent for Optimal Control using Deep Q-Learning
- Creating Custom OpenAI Gym Environments
- Implementing an Intelligent & Autonomous Car Driving Agent using Deep Actor-Critic Algorithm
- Exploring the Learning Environment Landscape
- Exploring the Learning Algorithm Landscape

Über Autor(innen)

P Palanisamy:
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.