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Keyphrases
Deep Reinforcement Learning (deep RL)
100%
Guided Learning
100%
Policy Drivers
100%
Human Driving
100%
Autonomous Vehicles
66%
Human Expert
66%
Human-like
66%
Gaussian Process
33%
State Distribution
33%
Generic Approach
33%
Two-source
33%
Human Behavior
33%
Goal-directed Behavior
33%
Control Algorithm
33%
Social Robots
33%
Human-robot Collaboration
33%
Task Allocation
33%
Robotic Vehicle
33%
Task Goal
33%
Easy-to-implement
33%
Driving Performance
33%
Unseen
33%
Task Avoidance
33%
Existing Algorithms
33%
Stochastic Behavior
33%
Expert Knowledge
33%
Feedback Device
33%
Learning Agents
33%
Human State
33%
Reinforcement Learning Approach
33%
Learning Distributions
33%
Task Variables
33%
Static Obstacle Avoidance
33%
Stochastic Data
33%
Artificial Agents
33%
Machine Behavior
33%
Highway Road
33%
Dynamic Obstacle Avoidance
33%
Computer Science
Deep Reinforcement Learning
100%
Autonomous Vehicles
66%
Use Case
33%
Control Algorithm
33%
Learning Agent
33%
Learning Approach
33%
State Distribution
33%
Expert Knowledge
33%
Obstacle Avoidance
33%
Feedback Signal
33%
Social Robotics
33%
Neuroscience
Behavior (Neuroscience)
100%
Reinforcement Learning
100%
Human Behavior
33%
Psychology
Goal-Directed Behavior
100%
Gaussian Distribution
100%