Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:citation |
1000+
|
| gptkbp:developedBy |
gptkb:DeepMind
|
| gptkbp:fullName |
INtegrated Model of Parallelism And Learning Algorithms
|
| https://www.w3.org/2000/01/rdf-schema#label |
IMPALA
|
| gptkbp:notableFeature |
V-trace off-policy correction
|
| gptkbp:notablePublication |
Espeholt et al., 2018
|
| gptkbp:openSource |
yes
|
| gptkbp:releaseYear |
2018
|
| gptkbp:supports |
actor-critic methods
off-policy learning scalable distributed RL |
| gptkbp:usedFor |
gptkb:reinforcement_learning
distributed training |
| gptkbp:usedIn |
Atari benchmarks
DMLab-30 DeepMind Lab |
| gptkbp:writtenBy |
gptkb:Python
|
| gptkbp:bfsParent |
gptkb:RLlib
|
| gptkbp:bfsLayer |
7
|