Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
reinforcement learning library
|
| gptkbp:documentation |
https://tianshou.readthedocs.io/
|
| gptkbp:firstReleased |
2020
|
| gptkbp:focusesOn |
deep reinforcement learning
|
| https://www.w3.org/2000/01/rdf-schema#label |
Tianshou
|
| gptkbp:license |
gptkb:MIT_License
|
| gptkbp:maintainedBy |
gptkb:THU-ML_Group
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:provides |
policy evaluation
multi-agent reinforcement learning policy optimization off-policy algorithms on-policy algorithms replay buffer vectorized environment support |
| gptkbp:repository |
https://github.com/thu-ml/tianshou
|
| gptkbp:supports |
gptkb:PyTorch
gptkb:NumPy |
| gptkbp:usedFor |
education
research industrial applications |
| gptkbp:bfsParent |
gptkb:Emperor_Wu_Zetian
gptkb:Wu_Zetian |
| gptkbp:bfsLayer |
6
|