Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Tiny change since the tests are more than unit tests #765

Merged
merged 1 commit into from
Nov 1, 2022
Merged

Tiny change since the tests are more than unit tests #765

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@ Here are Tianshou's other features:
- Support multi-agent RL [Usage](https://tianshou.readthedocs.io/en/master/tutorials/cheatsheet.html#multi-agent-reinforcement-learning)
- Support both [TensorBoard](https://www.tensorflow.org/tensorboard) and [W&B](https://wandb.ai/) log tools
- Support multi-GPU training [Usage](https://tianshou.readthedocs.io/en/master/tutorials/cheatsheet.html#multi-gpu)
- Comprehensive documentation, PEP8 code-style checking, type checking and [unit tests](https://github.com/thu-ml/tianshou/actions)
- Comprehensive documentation, PEP8 code-style checking, type checking and thorough [tests](https://github.com/thu-ml/tianshou/actions)

In Chinese, Tianshou means divinely ordained and is derived to the gift of being born with. Tianshou is a reinforcement learning platform, and the RL algorithm does not learn from humans. So taking "Tianshou" means that there is no teacher to study with, but rather to learn by themselves through constant interaction with the environment.

Expand Down Expand Up @@ -151,7 +151,7 @@ The example scripts are under [test/](https://github.com/thu-ml/tianshou/blob/ma

### Reproducible and High Quality Result

Tianshou has its unit tests. Different from other platforms, **the unit tests include the full agent training procedure for all of the implemented algorithms**. It would be failed once if it could not train an agent to perform well enough on limited epochs on toy scenarios. The unit tests secure the reproducibility of our platform. Check out the [GitHub Actions](https://github.com/thu-ml/tianshou/actions) page for more detail.
Tianshou has its tests. Different from other platforms, **the tests include the full agent training procedure for all of the implemented algorithms**. It would be failed once if it could not train an agent to perform well enough on limited epochs on toy scenarios. The tests secure the reproducibility of our platform. Check out the [GitHub Actions](https://github.com/thu-ml/tianshou/actions) page for more detail.

The Atari/Mujoco benchmark results are under [examples/atari/](examples/atari/) and [examples/mujoco/](examples/mujoco/) folders. **Our Mujoco result can beat most of existing benchmark.**

Expand Down