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Learning-based game theoretical framework for modeling pedestrian motion
Yalda Rahmati,
Alireza Talebpour
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peer-review
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Keyphrases
Learning-based
100%
Game Analysis
100%
Pedestrian
100%
Pedestrian Behavior
100%
Decision-making Process
40%
Human Agents
40%
Microscopic Level
20%
Game Structure
20%
Dynamic Environment
20%
Active Agent
20%
Nash Equilibrium
20%
Macroscopic Level
20%
Model Capabilities
20%
Equilibrium Calculation
20%
Network State
20%
Behavioral Characteristics
20%
Collision-free Path
20%
Game Theoretic Approach
20%
Orientation Behavior
20%
Optimal Decision
20%
Walking Behavior
20%
Learning Structure
20%
Motion Behavior
20%
Real-world Trajectory
20%
Pedestrian Walking
20%
Player Choice
20%
Repeated Decision Making
20%
Collision Avoidance Behavior
20%
Moving Strategy
20%
Engineering
Anisotropic
100%
Nash Equilibrium
100%
Free Path
100%
Collision Avoidance
100%
Optimal Decision
100%
Active Agent
100%
Social Sciences
Pedestrian
100%
Game-Based Learning
100%
Decision-Making Process
33%
Avoidance Behavior
16%
Decision Making
16%
Neuroscience
Behavior (Neuroscience)
100%
Decision-Making Process
66%
Decision-Making
33%
Psychology
Decision-Making Process
100%
Decision Making
50%