£109.50
This book discusses the acceleration of deep reinforcement learning (DRL), which may be the next step in the burst success of artificial intelligence (AI). The authors address acceleration systems which enable DRL on area-limited & battery-limited mobile devices. Methods are described that enable DRL optimization at the algorithm-, architecture-, and circuit-levels of abstraction.
Deep Reinforcement Learning in Action
Deep Reinforcement Learning
Deep Reinforcement Learning for Wireless Communications and Networking
Artificial Intelligence and Hardware Accelerators
Hands-On Deep Learning for Games
Grokking Deep Reinforcement Learning
Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design
Deep In-memory Architectures for Machine Learning
Foundations of Deep Reinforcement Learning
Deep Reinforcement Learning and Its Industrial Use Cases
Reinforcement Learning for Reconfigurable Intelligent Surfaces
Reinforcement Learning