python类html()的实例源码-面圈网

special.py 文件源码项目：third_person_im 作者: bstadie 项目源码文件源码阅读 28 收藏 0 点赞 0 评论 0

def discount_cumsum(x, discount):
    # See https://docs.scipy.org/doc/scipy/reference/tutorial/signal.html#difference-equation-filtering
    # Here, we have y[t] - discount*y[t+1] = x[t]
    # or rev(y)[t] - discount*rev(y)[t-1] = rev(x)[t]
    return scipy.signal.lfilter([1], [1, float(-discount)], x[::-1], axis=0)[::-1]

special.py 文件源码项目：rllabplusplus 作者: shaneshixiang 项目源码文件源码阅读 23 收藏 0 点赞 0 评论 0

def discount_cumsum(x, discount):
    # See https://docs.scipy.org/doc/scipy/reference/tutorial/signal.html#difference-equation-filtering
    # Here, we have y[t] - discount*y[t+1] = x[t]
    # or rev(y)[t] - discount*rev(y)[t-1] = rev(x)[t]
    return scipy.signal.lfilter([1], [1, float(-discount)], x[::-1], axis=0)[::-1]

special2.py 文件源码项目：rllabplusplus 作者: shaneshixiang 项目源码文件源码阅读 26 收藏 0 点赞 0 评论 0

def discount_cumsum(x, discount):
    # See https://docs.scipy.org/doc/scipy/reference/tutorial/signal.html#difference-equation-filtering
    # Here, we have y[t] - discount*y[t+1] = x[t]
    # or rev(y)[t] - discount*rev(y)[t-1] = rev(x)[t]
    return scipy.signal.lfilter([1], [1, float(-discount)], x[::-1], axis=0)[::-1]

special.py 文件源码项目：gail-driver 作者: sisl 项目源码文件源码阅读 27 收藏 0 点赞 0 评论 0

def discount_cumsum(x, discount):
    # See https://docs.scipy.org/doc/scipy/reference/tutorial/signal.html#difference-equation-filtering
    # Here, we have y[t] - discount*y[t+1] = x[t]
    # or rev(y)[t] - discount*rev(y)[t-1] = rev(x)[t]
    return scipy.signal.lfilter([1], [1, float(-discount)], x[::-1], axis=0)[::-1]

math.py 文件源码项目：TensorArtist 作者: vacancy 项目源码文件源码阅读 41 收藏 0 点赞 0 评论 0

def discount_cumsum(x, gamma):
    """Compute the discounted cumulative summation of an 1-d array.
    From https://github.com/rll/rllab/blob/master/rllab/misc/special.py"""
    # See https://docs.scipy.org/doc/scipy/reference/tutorial/signal.html#difference-equation-filtering
    # Here, we have y[t] - discount*y[t+1] = x[t]
    # or rev(y)[t] - discount*rev(y)[t-1] = rev(x)[t]
    return scipy.signal.lfilter([1], [1, float(-gamma)], x[::-1], axis=0)[::-1]

special.py 文件源码项目：rllab 作者: rll 项目源码文件源码阅读 26 收藏 0 点赞 0 评论 0

def discount_cumsum(x, discount):
    # See https://docs.scipy.org/doc/scipy/reference/tutorial/signal.html#difference-equation-filtering
    # Here, we have y[t] - discount*y[t+1] = x[t]
    # or rev(y)[t] - discount*rev(y)[t-1] = rev(x)[t]
    return scipy.signal.lfilter([1], [1, float(-discount)], x[::-1], axis=0)[::-1]

special.py 文件源码项目：maml_rl 作者: cbfinn 项目源码文件源码阅读 25 收藏 0 点赞 0 评论 0

def discount_cumsum(x, discount):
    # See https://docs.scipy.org/doc/scipy/reference/tutorial/signal.html#difference-equation-filtering
    # Here, we have y[t] - discount*y[t+1] = x[t]
    # or rev(y)[t] - discount*rev(y)[t-1] = rev(x)[t]
    return scipy.signal.lfilter([1], [1, float(-discount)], x[::-1], axis=0)[::-1]