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Applying Reinforcement Learning on Real-World Data with Practical Examples in Python - Bog af Philip Osborne - Paperback

Applying Reinforcement Learning on Real-World Data with Practical Examples in Python - Bog af Philip Osborne - Paperback

Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. In some cases, this machine learning approach can save programmers time, outperform existing controllers, reach super-human performance, and continually adapt to changing conditions. This book argues that these successes show reinforcement learning can be adopted successfully in many different situations, including robot control,..

DKK 480.95
2

Metareasoning for Robots - Jeffrey W. Herrmann

Metareasoning for Robots - Jeffrey W. Herrmann

This book is a state of the art resource that robotics researchers and engineers can use to make their robots and autonomous vehicles smarter. Readers will be able to describe metareasoning, select an appropriate metareasoning approach, and synthesize metareasoning policies. Metareasoning for Robots adopts a systems engineering perspective in which metareasoning is an approach that can improve the overall robot or autonomous system, not just one component or subsystem. This book introduces key concepts,..

DKK 692.95
2

Robotic Computing on FPGAs - Shaoshan Liu

Robotic Computing on FPGAs - Shaoshan Liu

This book provides a thorough overview of the state-of-the-art field-programmable gate array (FPGA)-based robotic computing accelerator designs and summarizes their adopted optimized techniques. This book consists of ten chapters, delving into the details of how FPGAs have been utilized in robotic perception, localization, planning, and multi-robot collaboration tasks. In addition to individual robotic tasks, this book provides detailed descriptions of how FPGAs have been used in robotic products,..

DKK 603.95
2

Safe Autonomy with Control Barrier Functions - Wei Xiao

Safe Autonomy with Control Barrier Functions - Wei Xiao

This book presents the concept of Control Barrier Function (CBF), which captures the evolution of safety requirements during the execution of a system and can be used to enforce safety. Safety is formalized using an emerging state-of-the-art approach based on CBFs, and many illustrative examples from autonomous driving, traffic control, and robot control are provided. Safety is central to autonomous systems since they are intended to operate with minimal or no human supervision, and a single failure..

DKK 692.95
2