Tianshou/tianshou/__init__.py

from tianshou import data, env, utils, policy, trainer, \
    exploration


__version__ = '0.2.6'
__all__ = [
    'env',
    'data',
    'utils',
    'policy',
    'trainer',
    'exploration',
]
minor reformat (#2) * update atari.py * fix setup.py pass the pytest * fix setup.py pass the pytest 2020-03-26 09:01:20 +08:00			`from tianshou import data, env, utils, policy, trainer, \`
add trainer 2020-03-19 17:23:46 +08:00			`exploration`
init 2020-03-09 11:38:04 +08:00
optimize training procedure and improve code coverage (#189) 1. add policy.eval() in all test scripts' "watch performance" 2. remove dict return support for collector preprocess_fn 3. add `__contains__` and `pop` in batch: `key in batch`, `batch.pop(key, deft)` 4. exact n_episode for a list of n_episode limitation and save fake data in cache_buffer when self.buffer is None (#184) 5. fix tensorboard logging: h-axis stands for env step instead of gradient step; add test results into tensorboard 6. add test_returns (both GAE and nstep) 7. change the type-checking order in batch.py and converter.py in order to meet the most often case first 8. fix shape inconsistency for torch.Tensor in replay buffer 9. remove `**kwargs` in ReplayBuffer 10. remove default value in batch.split() and add merge_last argument (#185) 11. improve nstep efficiency 12. add max_batchsize in onpolicy algorithms 13. potential bugfix for subproc.wait 14. fix RecurrentActorProb 15. improve the code-coverage (from 90% to 95%) and remove the dead code 16. fix some incorrect type annotation The above improvement also increases the training FPS: on my computer, the previous version is only ~1800 FPS and after that, it can reach ~2050 (faster than v0.2.4.post1). 2020-08-27 12:15:18 +08:00
code refactor for venv (#179) - Refacor code to remove duplicate code - Enable async simulation for all vector envs - Remove `collector.close` and rename `VectorEnv` to `DummyVectorEnv` The abstraction of vector env changed. Prior to this pr, each vector env is almost independent. After this pr, each env is wrapped into a worker, and vector envs differ with their worker type. In fact, users can just use `BaseVectorEnv` with different workers, I keep `SubprocVectorEnv`, `ShmemVectorEnv` for backward compatibility. Co-authored-by: n+e <463003665@qq.com> Co-authored-by: magicly <magicly007@gmail.com> 2020-08-19 15:00:24 +08:00			`__version__ = '0.2.6'`
maybe finished collector? 2020-03-13 17:49:22 +08:00			`__all__ = [`
			`'env',`
clear 2020-03-13 21:47:17 +08:00			`'data',`
maybe finished collector? 2020-03-13 17:49:22 +08:00			`'utils',`
ddpg 2020-03-18 21:45:41 +08:00			`'policy',`
add trainer 2020-03-19 17:23:46 +08:00			`'trainer',`
ddpg 2020-03-18 21:45:41 +08:00			`'exploration',`
maybe finished collector? 2020-03-13 17:49:22 +08:00			`]`