60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
#!/usr/bin/env python3
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# -*- coding: UTF-8 -*-
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###########################################################################
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# Copyright © 1998 - 2026 Tencent. All Rights Reserved.
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###########################################################################
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"""
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Author: Tencent AI Arena Authors
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"""
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from common_python.utils.common_func import create_cls
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import numpy as np
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from agent_diy.conf.conf import Config
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# The create_cls function is used to dynamically create a class. The first parameter of the function is the type name,
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# and the remaining parameters are the attributes of the class, which should have a default value of None.
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# create_cls函数用于动态创建一个类，函数第一个参数为类型名称，剩余参数为类的属性，属性默认值应设为None
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ObsData = create_cls(
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"ObsData",
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feature=None,
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legal_act=None,
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)
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ActData = create_cls(
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"ActData",
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act=None,
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)
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# SampleData is used to transfer training samples between aisrv and learner.
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# SampleData用于在aisrv和learner之间传递训练样本
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SampleData = create_cls(
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"SampleData",
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obs=153, # Observation dimension / 观测维度
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legal_actions=8, # Legal action dimension / 合法动作维度
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actions=1, # Action dimension / 动作维度
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probs=8, # Action probability distribution dimension / 动作概率分布维度
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rewards=1, # Reward / 奖励
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advantages=1, # Advantage function / 优势函数
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values=1, # Value function / 价值函数
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dones=1, # Whether terminated / 是否结束
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)
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def reward_shaping(frame_no, score, terminated, truncated, remain_info, _remain_info, obs, _obs):
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"""Reward shaping function.
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奖励塑形函数。
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"""
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pass
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def sample_process(list_game_data):
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"""Sample processing function.
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样本处理函数。
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"""
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pass
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