Deep Deterministic Policy Gradient
GPTKB entity
Statements (30)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
reinforcement learning algorithm
|
| gptkbp:abbreviation |
gptkb:DDPG
|
| gptkbp:application |
autonomous vehicles
robotics game playing |
| gptkbp:author |
gptkb:David_Silver
gptkb:Alexander_Pritzel gptkb:Jonathan_J._Hunt gptkb:Nicolas_Heess gptkb:Tom_Erez gptkb:Yuval_Tassa gptkb:Timothy_P._Lillicrap gptkb:Daan_Wierstra |
| gptkbp:basedOn |
actor-critic architecture
|
| gptkbp:category |
model-free reinforcement learning
off-policy learning |
| gptkbp:developedBy |
gptkb:Google_DeepMind
|
| gptkbp:handles |
continuous action spaces
|
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Deterministic Policy Gradient
|
| gptkbp:inspiredBy |
gptkb:Q-learning
|
| gptkbp:introducedIn |
2015
|
| gptkbp:publishedIn |
arXiv:1509.02971
|
| gptkbp:relatedTo |
gptkb:Deep_Q-Network
Deterministic Policy Gradient |
| gptkbp:uses |
deep neural networks
experience replay target networks |
| gptkbp:bfsParent |
gptkb:DDPG
gptkb:TD3 |
| gptkbp:bfsLayer |
7
|