OpenAI Baselines
E17813
OpenAI Baselines is a collection of high-quality reference implementations of reinforcement learning algorithms released by OpenAI for research and benchmarking.
Aliases (1)
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
reinforcement learning toolkit
→
software library → |
| category |
open-source software
→
|
| compatibleWith |
OpenAI Gym
→
|
| dependsOn |
TensorFlow
→
|
| developer |
OpenAI
→
|
| feature |
common interfaces across algorithms
→
example training scripts → logging utilities → support for multiple environments → tested implementations → |
| genre |
machine learning software
→
reinforcement learning → |
| goal |
facilitate reproducible reinforcement learning research
→
provide high-quality reference implementations of RL algorithms → |
| implementsAlgorithm |
A2C
→
A3C → ACKTR → DDPG → DQN → Deep Deterministic Policy Gradient → Deep Q-Network → Double DQN → Dueling DQN → GAIL → HER → Hindsight Experience Replay → PPO → PPO2 → Prioritized Experience Replay DQN → TRPO → |
| inspired |
Stable Baselines
→
|
| license |
MIT License
→
|
| maintainer |
OpenAI (historical)
→
|
| programmingLanguage |
Python
→
|
| provides |
reference implementations of reinforcement learning algorithms
→
|
| relatedTo |
Stable Baselines
→
|
| repositoryPlatform |
GitHub
→
|
| status |
open source
→
|
| supports |
actor-critic methods
→
policy gradient methods → value-based methods → |
| targetAudience |
benchmark authors
→
machine learning researchers → reinforcement learning practitioners → |
| useCase |
algorithm comparison
→
benchmarking → research → |
| writtenIn |
Python
→
|
Referenced by (5)
| Subject (surface form when different) | Predicate |
|---|---|
|
Stable Baselines
→
|
basedOn |
|
OpenAI
→
|
developed |
|
OpenAI Gym
("Stable Baselines")
→
|
influenced |
|
Stable Baselines
→
|
relatedTo |
|
OpenAI Gym
→
|
supports |