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47 行
1.3 KiB
47 行
1.3 KiB
from abc import ABC, abstractmethod
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from typing import List, Dict, NamedTuple
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from mlagents.trainers.brain import AllBrainInfo, BrainParameters
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from mlagents.trainers.policy import Policy
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from mlagents.trainers.action_info import ActionInfo
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class EnvironmentStep(NamedTuple):
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previous_all_brain_info: AllBrainInfo
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current_all_brain_info: AllBrainInfo
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brain_name_to_action_info: Dict[str, ActionInfo]
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def has_actions_for_brain(self, brain_name: str) -> bool:
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return (
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brain_name in self.brain_name_to_action_info
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and self.brain_name_to_action_info[brain_name].outputs is not None
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)
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class EnvManager(ABC):
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def __init__(self):
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self.policies: Dict[str, Policy] = {}
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def set_policy(self, brain_name: str, policy: Policy) -> None:
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self.policies[brain_name] = policy
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@abstractmethod
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def step(self) -> List[EnvironmentStep]:
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pass
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@abstractmethod
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def reset(self, config: Dict = None) -> List[EnvironmentStep]:
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pass
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@property
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@abstractmethod
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def external_brains(self) -> Dict[str, BrainParameters]:
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pass
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@property
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@abstractmethod
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def get_properties(self) -> Dict[str, float]:
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pass
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@abstractmethod
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def close(self):
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pass
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