Deep Reinforcement Learning with Double Q-learning
GPTKB entity
Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:affiliation |
gptkb:DeepMind
|
| gptkbp:application |
gptkb:Atari_2600_games
|
| gptkbp:author |
gptkb:David_Silver
gptkb:Arthur_Guez gptkb:Hado_van_Hasselt |
| gptkbp:citation |
gptkb:Deep_Q-Network_(DQN)
|
| gptkbp:contribution |
Introduced Double DQN to reduce overestimation bias in Q-learning
|
| gptkbp:field |
gptkb:artificial_intelligence
gptkb:machine_learning gptkb:reinforcement_learning |
| gptkbp:hasMethod |
gptkb:Double_DQN
|
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Reinforcement Learning with Double Q-learning
|
| gptkbp:impact |
Widely cited in reinforcement learning research
|
| gptkbp:improves |
gptkb:DQN
|
| gptkbp:publicationYear |
2016
|
| gptkbp:publishedIn |
gptkb:AAAI_Conference_on_Artificial_Intelligence
|
| gptkbp:url |
https://arxiv.org/abs/1509.06461
|
| gptkbp:bfsParent |
gptkb:Double_DQN
|
| gptkbp:bfsLayer |
7
|