|
gptkbp:instance_of
|
gptkb:Artificial_Intelligence
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:Dueling_DQN
|
|
gptkbp:applies_to
|
reinforcement learning
|
|
gptkbp:based_on
|
value function approximation
|
|
gptkbp:developed_by
|
gptkb:Volodymyr_Mnih
|
|
gptkbp:focuses_on
|
AI competitions
|
|
gptkbp:has_achievements
|
human-level performance
|
|
gptkbp:has_influence_on
|
further research in reinforcement learning
|
|
gptkbp:has_variants
|
gptkb:Double_DQN
gptkb:Dueling_DQN
Prioritized Experience Replay
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
DQN family
|
|
gptkbp:improves
|
Q-learning
|
|
gptkbp:includes
|
gptkb:Deep_Q-Networks
|
|
gptkbp:innovation
|
gptkb:software_framework
|
|
gptkbp:introduced
|
gptkb:2015
|
|
gptkbp:is_a_framework_for
|
deep learning research
|
|
gptkbp:is_associated_with
|
exploration-exploitation trade-off
|
|
gptkbp:is_characterized_by
|
function approximation
off-policy learning
experience replay buffer
target network updates
|
|
gptkbp:is_cited_in
|
numerous research papers
|
|
gptkbp:is_compared_to
|
policy gradient methods
|
|
gptkbp:is_evaluated_by
|
mean squared error
benchmark tasks
reward signals
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
human learning
|
|
gptkbp:is_known_for
|
playing Atari games
|
|
gptkbp:is_part_of
|
deep reinforcement learning
AI curriculum
|
|
gptkbp:is_popular_in
|
game AI
|
|
gptkbp:is_related_to
|
Monte Carlo methods
temporal difference learning
|
|
gptkbp:is_scalable
|
large state spaces
|
|
gptkbp:is_used_for
|
autonomous driving
natural language processing
healthcare applications
financial trading
|
|
gptkbp:is_used_in
|
gptkb:robot
real-world applications
simulated environments
multi-agent systems
game playing
|
|
gptkbp:key
|
AI systems
|
|
gptkbp:requires
|
computational resources
large amounts of data
|
|
gptkbp:security_features
|
overfitting
|
|
gptkbp:subject
|
gptkb:academic_research
machine learning courses
|
|
gptkbp:technique
|
experience replay
target network
|
|
gptkbp:technology
|
gptkb:Artificial_Intelligence
|
|
gptkbp:uses
|
Q-learning
|
|
gptkbp:utilizes
|
gptkb:microprocessor
|