Statements (39)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
open-source library
|
| gptkbp:category |
gptkb:model
reinforcement learning framework |
| gptkbp:compatibleWith |
gptkb:OpenAI_Gym
gptkb:PettingZoo gptkb:RLlibEnv gptkb:Unity_ML-Agents |
| gptkbp:developedBy |
gptkb:Ray_Project
|
| gptkbp:documentation |
https://docs.ray.io/en/latest/rllib/index.html
|
| gptkbp:firstReleased |
2018
|
| https://www.w3.org/2000/01/rdf-schema#label |
RLlib
|
| gptkbp:integratesWith |
gptkb:TensorFlow
gptkb:PyTorch gptkb:Ray_Serve gptkb:Ray_Tune |
| gptkbp:license |
Apache 2.0
|
| gptkbp:partOf |
right
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:repository |
https://github.com/ray-project/ray
|
| gptkbp:supports |
hyperparameter tuning
cloud deployment multi-agent reinforcement learning custom environments scalable training model-based RL offline RL |
| gptkbp:supportsAlgorithm |
gptkb:ES
gptkb:A3C gptkb:DQN gptkb:APEX gptkb:IMPALA gptkb:SAC PPO MARL |
| gptkbp:usedFor |
gptkb:reinforcement_learning
deep learning distributed training |
| gptkbp:bfsParent |
gptkb:AI2-THOR
|
| gptkbp:bfsLayer |
6
|