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fix exception in tutorials/dqn.rst (#327)

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n+e 2021-03-26 12:57:00 +08:00 committed by GitHub
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README.md
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@ -280,7 +280,7 @@ If you find Tianshou useful, please cite it in your publications.
```latex
@misc{tianshou,
author = {Jiayi Weng, Minghao Zhang, Alexis Duburcq, Kaichao You, Dong Yan, Hang Su, Jun Zhu},
author = {Jiayi Weng, Huayu Chen, Alexis Duburcq, Kaichao You, Minghao Zhang, Dong Yan, Hang Su, Jun Zhu},
title = {Tianshou},
year = {2020},
publisher = {GitHub},

3
docs/tutorials/dqn.rst
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@ -129,8 +129,7 @@ Tianshou provides :func:`~tianshou.trainer.onpolicy_trainer`, :func:`~tianshou.t
update_per_step=0.1, episode_per_test=100, batch_size=64,
train_fn=lambda epoch, env_step: policy.set_eps(0.1),
test_fn=lambda epoch, env_step: policy.set_eps(0.05),
stop_fn=lambda mean_rewards: mean_rewards >= env.spec.reward_threshold,
logger=None)
stop_fn=lambda mean_rewards: mean_rewards >= env.spec.reward_threshold)
print(f'Finished training! Use {result["duration"]}')
The meaning of each parameter is as follows (full description can be found at :func:`~tianshou.trainer.offpolicy_trainer`):