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Algorithms for Adaptive Game-playing Agents
Niels Orsleff Justesen
Digital Design
Research output
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Book / Anthology / Report / Ph.D. thesis
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Ph.D. thesis
Overview
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Dive into the research topics of 'Algorithms for Adaptive Game-playing Agents'. Together they form a unique fingerprint.
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Keyphrases
Artificial Intelligence
100%
Game Agent
100%
Adaptive Games
100%
Adaptation
42%
Sparse Reward
42%
StarCraft
42%
Game Adaptivity
42%
Adaptivity
28%
Game Playing
28%
Build-to-order
28%
Order Planning
28%
Complex Games
28%
Imitation Learning
28%
Entertainment
14%
Order of Magnitude
14%
Deep Learning
14%
Neural Network
14%
Reinforcement Learning
14%
Board Games
14%
Procedural Content Generation
14%
Complex Interactions
14%
Most Complex
14%
Algorithmic Approach
14%
Real-time Strategy Games
14%
Art Games
14%
Blizzard
14%
Learning Approaches
14%
Reward Shaping
14%
Curriculum Learning
14%
Game Competition
14%
Learning Difficulties
14%
Changing Environment
14%
Training Level
14%
Value-based
14%
Adaptive Policy
14%
Switching Strategy
14%
Learning Techniques
14%
Behavioral Repertoire
14%
Strong Games
14%
Human Intelligence
14%
Shaping Technique
14%
Planning Algorithms
14%
Real-world Problems
14%
Regularization Method
14%
Online Adaptive
14%
Robust Game
14%
Learning Adaptive
14%
Unseen
14%
Learning Methods
14%
Evolution Planning
14%
Computer Science
Game Playing
100%
Artificial Intelligence
100%
Reinforcement Learning
28%
Neural Network
14%
Presented Approach
14%
Field Research
14%
Learning Approach
14%
Regularization
14%
Algorithmic Approach
14%
Learning Framework
14%
Adaptive Learning
14%
Training Level
14%
Real-World Problem
14%
Planning Algorithm
14%
Deep Learning Method
14%
Psychology
Artificial Intelligence
100%
Adaptivity
71%
Neural Network
14%
In-Game Behavior
14%
Behavioral Learning
14%
Shaping Technique
14%