Reinforcement Learning with Hybrid Quantum Approximation in the Nisq Context

By Leonhard Kunczik

Motivation: Complex Attacker-Defender Scenarios - The eternal conflict., The Information Game - A special Attacker-Defender Scenario., Reinforcement Learning and Bellman's Principle of Optimality., Quantum Reinforcement Learning - Connecting Reinforcement Learning and Quantum Computing.- Approximation in Quantum Computing.- Advanced Quantum Policy Approximation in Policy Gradient Rein-forcement Learning.- Applying Quantum REINFORCE to the Information Game.- Evaluating quantum REINFORCE on IBM's Quantum Hardware.- Future Steps in Quantum Reinforcement Learning for Complex Scenarios.- Conclusion.

• Format: Paperback
• Language: English
• ISBN: 3658376155
• ISBN13: 9783658376154
• Release Date: June 2022
• Publisher: Springer Vieweg
• Length: 134 Pages
• Weight: 0.46 lbs.
• Dimensions: 0.4" x 5.8" x 8.3"