454c86c469
Things changed in this PR: - various docs update, add TOC - split buffer into several files - fix venv action_space randomness
58 lines
2.1 KiB
Python
58 lines
2.1 KiB
Python
import numpy as np
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from typing import Any
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from tianshou.data import ReplayBuffer, ReplayBufferManager
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from tianshou.data import PrioritizedReplayBuffer, PrioritizedReplayBufferManager
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class VectorReplayBuffer(ReplayBufferManager):
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"""VectorReplayBuffer contains n ReplayBuffer with the same size.
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It is used for storing transition from different environments yet keeping the order
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of time.
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:param int total_size: the total size of VectorReplayBuffer.
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:param int buffer_num: the number of ReplayBuffer it uses, which are under the same
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configuration.
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Other input arguments (stack_num/ignore_obs_next/save_only_last_obs/sample_avail)
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are the same as :class:`~tianshou.data.ReplayBuffer`.
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.. seealso::
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Please refer to :class:`~tianshou.data.ReplayBuffer` for other APIs' usage.
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"""
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def __init__(self, total_size: int, buffer_num: int, **kwargs: Any) -> None:
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assert buffer_num > 0
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size = int(np.ceil(total_size / buffer_num))
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buffer_list = [ReplayBuffer(size, **kwargs) for _ in range(buffer_num)]
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super().__init__(buffer_list)
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class PrioritizedVectorReplayBuffer(PrioritizedReplayBufferManager):
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"""PrioritizedVectorReplayBuffer contains n PrioritizedReplayBuffer with same size.
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It is used for storing transition from different environments yet keeping the order
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of time.
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:param int total_size: the total size of PrioritizedVectorReplayBuffer.
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:param int buffer_num: the number of PrioritizedReplayBuffer it uses, which are
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under the same configuration.
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Other input arguments (alpha/beta/stack_num/ignore_obs_next/save_only_last_obs/
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sample_avail) are the same as :class:`~tianshou.data.PrioritizedReplayBuffer`.
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.. seealso::
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Please refer to :class:`~tianshou.data.ReplayBuffer` for other APIs' usage.
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"""
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def __init__(self, total_size: int, buffer_num: int, **kwargs: Any) -> None:
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assert buffer_num > 0
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size = int(np.ceil(total_size / buffer_num))
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buffer_list = [
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PrioritizedReplayBuffer(size, **kwargs) for _ in range(buffer_num)
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]
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super().__init__(buffer_list)
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