|
gptkbp:instance_of
|
gptkb:researchers
|
|
gptkbp:affiliation
|
gptkb:University_of_Toronto
|
|
gptkbp:award
|
Best Paper Award at Neur IPS
|
|
gptkbp:collaborator
|
gptkb:Koray_Kavukcuoglu
gptkb:David_Silver
gptkb:Volodymyr_Mnih
|
|
gptkbp:contribution
|
Atari Game Playing with Deep Q-Networks
|
|
gptkbp:education
|
Ph D in Machine Learning
|
|
gptkbp:field
|
gptkb:Artificial_Intelligence
gptkb:machine_learning
Neuroscience
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Volodymyr Mnih
|
|
gptkbp:influenced_by
|
gptkb:Yoshua_Bengio
gptkb:Richard_Sutton
gptkb:Geoffrey_R._Hinton
|
|
gptkbp:known_for
|
gptkb:Deep_Reinforcement_Learning
|
|
gptkbp:project
|
gptkb:Deep_Mind
gptkb:Multi-Agent_Systems
gptkb:Natural_Language_Processing
gptkb:AI_Ethics
gptkb:AI_for_Social_Good
gptkb:Alpha_Go
gptkb:stage_adaptation
gptkb:gymnasium
gptkb:Alpha_Zero
gptkb:DQN
gptkb:Neural_Turing_Machines
gptkb:robotics
gptkb:AI_technology
gptkb:Neural_Architecture_Search
Unsupervised Learning
Generative Models
Simulation Environments
AI for Healthcare
Computer Games
Data Efficiency
Meta-Learning
Human-AI Collaboration
AI for Education
AI for Agriculture
AI for Climate Change
AI for Energy
AI for Finance
AI for Manufacturing
AI for Smart Cities
Self-Supervised Learning
AI for Transportation
Scalable AI
|
|
gptkbp:publication
|
Playing Atari with Deep Reinforcement Learning
|
|
gptkbp:research_interest
|
gptkb:Computer_Vision
gptkb:neural_networks
gptkb:machine_learning
|
|
gptkbp:bfsParent
|
gptkb:Deep_Mind
gptkb:Google_Deep_Mind
|
|
gptkbp:bfsLayer
|
5
|