[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Yang, 2022 - Google Patents

Integrating Domain Knowledge into Monte Carlo Tree Search for Real-Time Strategy Games

Yang, 2022

View PDF
Document ID
15960112136996409289
Author
Yang Z
Publication year

External Links

Snippet

Tree search algorithms are widely applied methods to model and solve sequential decision problems. In particular, the family of sampling-based tree search algorithms called Monte Carlo Tree Search (MCTS) has had great success in problems with large branching factors …
Continue reading at researchdiscovery.drexel.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/12Computer systems based on biological models using genetic models
    • G06N3/126Genetic algorithms, i.e. information processing using digital simulations of the genetic system
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/004Artificial life, i.e. computers simulating life
    • G06N3/006Artificial life, i.e. computers simulating life based on simulated virtual individual or collective life forms, e.g. single "avatar", social simulations, virtual worlds
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation

Similar Documents

Publication Publication Date Title
Świechowski et al. Monte Carlo tree search: A review of recent modifications and applications
Long et al. Evolutionary population curriculum for scaling multi-agent reinforcement learning
Silver Reinforcement learning and simulation-based search in computer Go
Janusz et al. Helping ai to play hearthstone: Aaia'17 data mining challenge
Dobre et al. Online learning and mining human play in complex games
Dockhorn Prediction-based search for autonomous game-playing
Yang Integrating Domain Knowledge into Monte Carlo Tree Search for Real-Time Strategy Games
Dobre et al. POMCP with human preferences in Settlers of Catan
Zhang et al. A Survey on Self-play Methods in Reinforcement Learning
Qian Evolutionary population curriculum for scaling multi-agent reinforcement learning
Mandel Better Education Through Improved Reinforcement Learning
Lew Modeling go game as a large decomposable decision process
Gallego-Durán Estimating difficulty of learning activities in design stages: A novel application of Neuroevolution
Sun et al. Cognitive simulation of academic science
Ring et al. Replicating deepmind starcraft ii reinforcement learning benchmark with actor-critic methods
Ignatenko et al. Solving Sokoban Game with a Heuristic for Avoiding Dead-End States
Gonzalez Enhanced Monte Carlo Tree Search in Game-Playing AI: Evaluating Deepmind's Algorithms
Jónsson Representing uncertainty in rts games
West Self-play deep learning for games: Maximising experiences
Yannakakis et al. Ai methods
Keshavarzi et al. Comparative Analysis of Extensive Form Zero-Sum Games Solving Algorithms: Evaluating Optimal Algorithms in Poker-Like Games
Lillerovde AI and Game complexity: Game benchmarking by using reinforcement learning
Reynard Reinforcement learning in the Minecraft gaming environment
Andersen Advancements in Safe Deep Reinforcement Learning for Real-Time Strategy Games and Industry Applications
Sithungu Adaptive Game Artificial Intelligence Dynamic Difficulty Balancing Using Symbiotic Game Agents