Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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from mlagents_envs.side_channel import SideChannel, IncomingMessage, OutgoingMessage
from mlagents_envs.exception import UnityCommunicationException
from mlagents_envs.base_env import AgentId
import uuid
class AgentParametersChannel(SideChannel):
"""
This is the SideChannel for sending agent-specific parameters to Unity.
You can send parameters to an environment with the command
set_float_parameter.
"""
def __init__(self) -> None:
channel_id = uuid.UUID(("534c891e-810f-11ea-a9d0-822485860401"))
super().__init__(channel_id)
def on_message_received(self, msg: IncomingMessage) -> None:
raise UnityCommunicationException(
"The EnvironmentParametersChannel received a message from Unity, "
+ "this should not have happend."
)
def set_float_parameter(self, agent_id: AgentId, key: str, value: float) -> None:
"""
Sets a float environment parameter in the Unity Environment.
:param key: The string identifier of the parameter.
:param value: The float value of the parameter.
"""
msg = OutgoingMessage()
msg.write_int32(agent_id)
msg.write_string(key)
msg.write_float32(value)
super().queue_message_to_send(msg)