Deep Reinforcement Learning with a Natural Language Action Space
GPTKB entity
Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:application |
text-based games
|
| gptkbp:arXivID |
1511.04636
|
| gptkbp:author |
gptkb:Ming_Zhou
gptkb:Jianfeng_Gao gptkb:Li_Deng gptkb:Xiaodong_He Ji He Jianshu Chen |
| gptkbp:citation |
high
|
| gptkbp:field |
gptkb:artificial_intelligence
gptkb:reinforcement_learning natural language processing |
| gptkbp:focusesOn |
action space represented by natural language
|
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Reinforcement Learning with a Natural Language Action Space
|
| gptkbp:language |
English
|
| gptkbp:proposedBy |
deep reinforcement learning model for text-based games
|
| gptkbp:publicationYear |
2015
|
| gptkbp:publishedIn |
gptkb:arXiv
|
| gptkbp:uses |
gptkb:deep_Q-network
recurrent neural network |
| gptkbp:bfsParent |
gptkb:DRRN
|
| gptkbp:bfsLayer |
7
|