Nothing Special   »   [go: up one dir, main page]

Liu, 2019 - Google Patents

PyTorch 1. x Reinforcement Learning Cookbook: Over 60 recipes to design, develop, and deploy self-learning AI models using Python

Liu, 2019

Document ID
9419326006025182326
Author
Liu Y
Publication year

External Links

Continue reading at scholar.google.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/04—Inference methods or devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00—Teaching not covered by other main groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers

Similar Documents

Publication Publication Date Title
Lapan Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more
Ravichandiran Hands-on reinforcement learning with Python: master reinforcement and deep reinforcement learning using OpenAI gym and tensorFlow
Morales Grokking deep reinforcement learning
Dürr et al. Probabilistic deep learning: With python, keras and tensorflow probability
Ravichandiran Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow
Brownlee XGBoost With python: Gradient boosted trees with XGBoost and scikit-learn
Koul et al. Practical deep learning for cloud, mobile, and edge: real-world AI & computer-vision projects using Python, Keras & Tensorflow
Palanisamy Hands-On Intelligent Agents with OpenAI Gym: Your guide to developing AI agents using deep reinforcement learning
Nandy et al. Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python
Lonza Reinforcement Learning Algorithms with Python: Learn, understand, and develop smart algorithms for addressing AI challenges
US20160086498A1 (en) Recommending a Set of Learning Activities Based on Dynamic Learning Goal Adaptation
Dutta Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
Rothman Artificial intelligence by example: develop machine intelligence from scratch using real artificial intelligence use cases
Guss et al. The MineRL 2019 competition on sample efficient reinforcement learning using human priors
Habib Hands-on Q-learning with python: Practical Q-learning with openai gym, Keras, and tensorflow
Bilgin Mastering reinforcement learning with python: build next-generation, self-learning models using reinforcement learning techniques and best practices
El Gourari et al. The Implementation of Deep Reinforcement Learning in E‐Learning and Distance Learning: Remote Practical Work
Smith Hands-On Artificial Intelligence for Beginners: An introduction to AI concepts, algorithms, and their implementation
Sawarkar Deep Learning with PyTorch Lightning: Swiftly Build High-performance Artificial Intelligence (AI) Models Using Python
Haque et al. On the road to perfection? evaluating leela chess zero against endgame tablebases
Liu PyTorch 1. x Reinforcement Learning Cookbook: Over 60 recipes to design, develop, and deploy self-learning AI models using Python
Palmas et al. The The Reinforcement Learning Workshop: Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems
CN112274935B (en) AI model training method, application method computer device and storage medium
Smit et al. Game-based learning-teaching artificial intelligence to play Minecraft: a systematic literature review
Ris-Ala Fundamentals of Reinforcement Learning