Comments (3)
@whiplash003 我们之前的做法比较粗糙,历史出牌信息边读边处理,其他特征提前编码好直接存内存里,然后用内存很大的机器来训练。可能用多进程缓存更有效。
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请问牌局信息在哪里可以获取,我打算用数据训练叫牌
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@177715031 Douzero的SL训练使用的是内部数据,不方便公开。Botzone上有一些AI对局的数据,您可以参考下:https://botzone.org.cn/downloadmatches
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Related Issues (20)
- can you share the SL training code? HOT 6
- 我自己train了一下,为什么出来的结果不像你们训练出的那样智能? HOT 15
- AI会把大小王作为四带二的二带出去,这是明显掉胜率的走法 HOT 4
- 使用人类数据训练SL模型 HOT 3
- 新手求问free_queue和full_queue分别是什么意思?这个就是actor和learner之间的缓存区吗? HOT 1
- 关于evaluation阶段 HOT 1
- 没有找到main文件 HOT 2
- 显存很快就满了 HOT 8
- 为什么同样是4个GPU我的训练时候的FPS很低呢,基本都在2000左右 HOT 7
- 关于models.py 几个问题 HOT 7
- 抢地主功能什么时候开放 HOT 1
- 求助,用CPU无法训练问题!!! HOT 1
- 策略调整可行性 HOT 2
- 执行loss.backward()几个小时报错out of memory HOT 7
- 策略可能性
- 咨询下LSTM策略调整
- 多显卡瓶颈在第0卡上
- Apple M1芯片支持模拟和训练吗 HOT 1
- colab上的训练代码一运行,ram就炸了 HOT 3
- 欢乐斗地主实测胜率很低 算法还有升级的办法吗? HOT 2
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