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Hierarchical Strategy Learning for FLUX Agents

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Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments;

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Hierarchical Decomposition in Reinforcement Learning

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TensorFlow 2 Reinforcement Learning Cookbook

Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learning Key;

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Aspects of Induction Motor Stator Voltage and Frequency Control

constant flux operation and maximum motoring torque from zero to rated speed. This modified strategy is applied in the closed loop control;

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Reinforcement Learning

articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical;

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Hands-On Intelligent Agents with OpenAI Gym

easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential;

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Staff as Change Agents

process a strategy was developed to utilise staff as change agents in the mental mental health system in South Australia. The aim of ths strategy;

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Layered Learning in Multiagent Systems

. Second, it presents layered learning, a general-purpose machine-learning method for complex domains in which learning a mapping directly from;

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Artificial Intelligence

Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For;

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Artificial Intelligence

Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For;

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Artificial Intelligence

Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For;

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Artificial Intelligence

Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For;

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Trustee Investment Strategy for Endowments and Foundations

Trustees are responsible for the stewardship of assets and for implementing the mission of their endowment or foundation. Almost invariably;

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Applying Social Tools to learning

strategy. Use this Infoline to assess your organisations current strategy for learning and development, and to incorporate the social learning;

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Production Organizations in Japanese Economic Development

. Production organizations are taken to mean the long-term relationships which economic agents create for production, based on employment contracts or;

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Production Organizations in Japanese Economic Development

. Production organizations are taken to mean the long-term relationships which economic agents create for production, based on employment contracts or;

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Cooperative Optimal Control of Hybrid Energy Systems

consists of the hierarchical optimal control strategy for the security issue, multi-objective optimization for both economic and emission issue;

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Cooperative Optimal Control of Hybrid Energy Systems

consists of the hierarchical optimal control strategy for the security issue, multi-objective optimization for both economic and emission issue;

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Hierarchical Feature Selection for Knowledge Discovery

discusses the hierarchical feature selection in depth, which is generally a novel research area in Data Mining/Machine Learning. Seven different;

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Hands-On Reinforcement Learning for Games

book will help you build a strong foundation in reinforcement learning for game development. Each chapter will assist you in implementing;

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Strategy Mapping for Learning Organizations

performance management processes requires the tools and techniques described in Strategy Mapping for Learning Organizations. Phil Jones provides a;

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On the Design of Game-Playing Agents

Evolving agents to play games is a promising technology. It can provide entertaining opponents for games like Chess or Checkers, matched to;

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Learn Unity ML-Agents - Fundamentals of Unity Machine Learning

cooperative and competitive multi-agent ecosystem. What you will learn Develop Reinforcement and Deep Reinforcement Learning for games. Understand;

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Grokking Deep Reinforcement Learning

Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required;

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Education and the Politics of Becoming

This collection examines education in the light of a politics of becoming. It takes a non-hierarchical transdisciplinary approach;

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Education and the Politics of Becoming

This collection examines education in the light of a politics of becoming. It takes a non-hierarchical transdisciplinary approach;

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