Reinforcement Learning

URI: https://gptkb.org/entity/Reinforcement_Learning

GPTKB entity

Statements (57)

Predicate	Object
gptkbp:instanceOf	machine learning paradigm
gptkbp:conference	gptkb:AAAI gptkb:ICLR gptkb:ICML gptkb:NeurIPS
gptkbp:fieldOfStudy	gptkb:artificial_intelligence
gptkbp:firstPublished	1980s
gptkbp:focusesOn	sequential decision making learning from interaction
gptkbp:hasApplication	autonomous vehicles robotics resource management game playing recommendation systems
gptkbp:hasConcept	gptkb:action gptkb:award gptkb:explorer gptkb:public_policy gptkb:state_order environment value function exploitation agent
gptkbp:hasJournal	gptkb:Journal_of_Machine_Learning_Research gptkb:Machine_Learning_Journal gptkb:Artificial_Intelligence_Journal
gptkbp:hasSubfield	deep reinforcement learning hierarchical reinforcement learning inverse reinforcement learning model-based reinforcement learning model-free reinforcement learning multi-agent reinforcement learning
https://www.w3.org/2000/01/rdf-schema#label	Reinforcement Learning
gptkbp:notableBook	gptkb:Reinforcement_Learning:_An_Introduction
gptkbp:notableContributor	gptkb:Richard_S._Sutton gptkb:Andrew_G._Barto
gptkbp:notableFor	gptkb:Monte_Carlo_methods gptkb:Actor-Critic gptkb:Deep_Q-Network gptkb:SARSA gptkb:Q-learning gptkb:Policy_Gradient gptkb:Temporal_Difference_learning
gptkbp:relatedTo	supervised learning unsupervised learning
gptkbp:usedBy	gptkb:DeepMind gptkb:AlphaGo gptkb:OpenAI_Five
gptkbp:uses	Markov chain reward signals trial and error
gptkbp:bfsParent	gptkb:NeurIPS_2013 gptkb:NeurIPS_2018 gptkb:Unity_Machine_Learning_Agents gptkb:Neural_Networks gptkb:Deep_Neural_Network
gptkbp:bfsLayer	6