|
gptkbp:instance_of
|
gptkb:Library
|
|
gptkbp:based_on
|
gptkb:Open_AI_Baselines
|
|
gptkbp:community_support
|
gptkb:true
|
|
gptkbp:developed_by
|
gptkb:Stable_Baselines_Team
|
|
gptkbp:has_documentation
|
available online
|
|
gptkbp:has_features
|
hyperparameter tuning
logging and monitoring tools
easy to use API
customizable training
multi-agent support
|
|
gptkbp:has_version
|
2.10.0
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Stable Baselines
|
|
gptkbp:includes
|
gptkb:DDPG
gptkb:DQN
SAC
TRPO
A2 C
PPO2
|
|
gptkbp:is_available_on
|
gptkb:Git_Hub
|
|
gptkbp:is_compatible_with
|
gptkb:gymnasium
Python 3.6+
|
|
gptkbp:is_integrated_with
|
gptkb:Kubernetes
gptkb:board_game
gptkb:Weights_&_Biases
gptkb:MLflow
gptkb:Docker
gptkb:Ray
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_part_of
|
gptkb:Open_AI_ecosystem
gptkb:RLlib
|
|
gptkbp:is_related_to
|
gptkb:machine_learning
deep learning
actor-critic methods
policy gradient methods
value-based methods
reinforcement learning environments
|
|
gptkbp:is_supported_by
|
tutorials
community contributions
example scripts
|
|
gptkbp:is_used_by
|
gptkb:developers
gptkb:researchers
data scientists
|
|
gptkbp:is_used_for
|
gptkb:robotics
healthcare
finance
game development
simulations
|
|
gptkbp:is_used_in
|
gptkb:academic_research
industry applications
|
|
gptkbp:language
|
gptkb:Python
|
|
gptkbp:license
|
MIT License
|
|
gptkbp:provides
|
pre-trained models
implementations of RL algorithms
|
|
gptkbp:released_in
|
gptkb:2018
|
|
gptkbp:supports
|
gptkb:Tensor_Flow
|
|
gptkbp:used_for
|
reinforcement learning
|
|
gptkbp:bfsParent
|
gptkb:gymnasium
|
|
gptkbp:bfsLayer
|
4
|