天瓏網路書店 | Reinforcement

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From Pattern Formation to Material Computation: Multi-agent Modelling of Physarum Polycephalum (Emergence, Complexity and Computation)

Statistical Reinforcement Learning: Modern Machine Learning Approaches (Hardcover)-cover

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Statistical Reinforcement Learning: Modern Machine Learning Approaches (Hardcover)

Probability Collectives: A Distributed Multi-agent System Approach for Optimization (Intelligent Systems Reference Library)-cover

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Probability Collectives: A Distributed Multi-agent System Approach for Optimization (Intelligent Systems Reference Library)

Brain Computation as Hierarchical Abstraction-cover

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Brain Computation as Hierarchical Abstraction

Design of Experiments for Reinforcement Learning (Springer Theses)-cover

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Design of Experiments for Reinforcement Learning (Springer Theses)

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series)-cover

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Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series)

Multi-Agent Machine Learning: A Reinforcement Approach-cover

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Multi-Agent Machine Learning: A Reinforcement Approach

Mechanisms for Stability and Welfare: Increasing Cooperation among Self-interested Agents-cover

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Mechanisms for Stability and Welfare: Increasing Cooperation among Self-interested Agents

Introduction to Intelligent Systems in Traffic and Transportation (Synthesis Lectures on Artificial Intelligence and Machine Learning)-cover

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Introduction to Intelligent Systems in Traffic and Transportation (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)-cover

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Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)

Robot Learning from Human Teachers (Synthesis Lectures on Artificial Intelligence and Machine Le)-cover

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Robot Learning from Human Teachers (Synthesis Lectures on Artificial Intelligence and Machine Le)

Reinforcement Learning for Adaptive Dialogue Systems: A Data-driven Methodology for Dialogue Management and Natural Language Generation (Theory and Applications of Natural Language Processing)-cover

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Reinforcement Learning for Adaptive Dialogue Systems: A Data-driven Methodology for Dialogue Management and Natural Language Generation (Theory and Applications of Natural Language Processing)

A Concise Introduction to Models and Methods for Automated Planning: Synthesis Lectures on Artificial Intelligence and Machine Learning-cover

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A Concise Introduction to Models and Methods for Automated Planning: Synthesis Lectures on Artificial Intelligence and Machine Learning

Multiagent Systems, 2/e (Hardcover)-cover

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Multiagent Systems, 2/e (Hardcover)

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control (Hardcover)-cover

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Reinforcement Learning and Approximate Dynamic Programming for Feedback Control (Hardcover)

Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems-cover

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Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems

Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles-cover

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Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles

Handbook of Markov Decision Processes: Methods and Applications-cover

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Handbook of Markov Decision Processes: Methods and Applications

Reinforcement and Systemic Machine Learning for Decision Making (Hardcover)-cover

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Reinforcement and Systemic Machine Learning for Decision Making (Hardcover)

Planning with Markov Decision Processes: An AI Perspective (Synthesis Lectures on Artificial Intelligence and Machine Learning)-cover

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Planning with Markov Decision Processes: An AI Perspective (Synthesis Lectures on Artificial Intelligence and Machine Learning)

The Soar Cognitive Architecture (MIT Press)-cover

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The Soar Cognitive Architecture (MIT Press)

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Optimal Learning (Hardcover)

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The Soar Cognitive Architecture

Online Learning and Online Convex Optimization-cover

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Online Learning and Online Convex Optimization

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Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)

Approximate Dynamic Programming: Solving the Curses of Dimensionality, 2nd Edition (Wiley Series in Probability and Statistics)-cover

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Approximate Dynamic Programming: Solving the Curses of Dimensionality, 2nd Edition (Wiley Series in Probability and Statistics)

Towards Autonomous Robotic Systems: 12th Annual Conference, TAROS 2011, Sheffield, UK, August 31 -- September 2, 2011, Proceedings (Lecture Notes in Computer Science)-cover

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Towards Autonomous Robotic Systems: 12th Annual Conference, TAROS 2011, Sheffield, UK, August 31 -- September 2, 2011, Proceedings (Lecture Notes in Computer Science)