強化学習における Golang の機械学習アプリケーション

go get github.com/tensorflow/tensorflow/tensorflow/go
go get github.com/golang/protobuf/ptypes/timestamp
go get github.com/golang/protobuf/ptypes/duration
go get github.com/golang/protobuf/ptypes/struct
go get github.com/golang/protobuf/ptypes/wrappers
go get github.com/golang/protobuf/ptypes/any

type GoBoard struct {
    // ... 游戏状态和规则
}

func (b *GoBoard) Play(move Coord)
func (b *GoBoard) Score() float64

type NeuralNetwork struct {
    // ... 模型架构和权重
}

func (nn *NeuralNetwork) Predict(state BoardState) []float64

type MonteCarloTreeSearch struct {
    // ... 搜索树和扩展算子
}

func (mcts *MonteCarloTreeSearch) Play(board GoBoard) Coord

// 训练循环
for iter := 0; iter < maxIterations; iter++ {
    // 自我对弈游戏并收集样本
    games := playGames(mcts, numSelfPlayGames)

    // 训练神经网络
    trainNeuralNetwork(games)

    // 更新蒙特卡罗树搜索
    mcts = updateMCTree(model)
}

func evaluateModel(mcts Model) float64 {
    // 与专家系统或其他强模型对弈
    results := playGames(mcts, expertModel)

    // 计算胜率
    winRate := float64(results.Wins) / float64(results.TotalGames)

    return winRate
}