Planning Algorithms

Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations.

• Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents)
• Probabilistic Robotics (INTELLIGENT ROBOTICS AND AUTONOMOUS AGENTS)
• Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
• Introduction to Autonomous Mobile Robots (Intelligent Robotics and Autonomous Agents)
• Deep Learning (Adaptive Computation and Machine Learning)
• Heuristic Search: Theory and Applications
• Optimal Control Theory: An Introduction (Dover Books on Electrical Engineering)
• Modern Robotics: Mechanics, Planning, and Control
• Multiple View Geometry in Computer Vision
• Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more