importrandomimportgymimportnumpy as npimportcollectionsimporttorchimporttorch.nn.functional as Fimportmatplotlib.pyplot as pltfromtqdmimporttqdmfrommodelimportDQNimportrl_utilsfromrl_utilsimportReplayBuffer lr= 1e-2#学习率num_episodes = 200#迭代次数hidden_dim = 128#隐藏层gamma = 0.98epsilon= 0.01target...
importrandomimportgymimportnumpy as npimporttorchimporttorch.nn.functional as Fimportmatplotlib.pyplot as pltimportrl_utilsfromtqdmimporttqdmclassQnet(torch.nn.Module):'''只有一层隐藏层的Q网络'''def__init__(self, state_dim, hidden_dim, action_dim): super(Qnet, self).__init__() self.fc1=...
Matplotlib实现柱状图内不同线型填充,完整总结! 以下是一些基本的hatch图案样式,可以在调用绘制柱状图的函数时(如plt.bar)使用: double2024-04-11 数据、索引、图表、matplotlib、函数 发表了文章2024-04-11 大模型开发工程师 roadmap 大模型开发工程师应该是接下来几年最火的方向之一,今天逛github发现一个很好的学习...
desc='Iteration %d' % i) as pbar:for i_episode in range(int(num_episodes / 10)):episode_return = 0state = env.reset()done = Falsewhile not done:action = agent
importrandomimportnumpyasnpimportmatplotlib.pyplotaspltimportgymnasiumasgymclassCliffWalkAgent:gama=0.85# For SARSAisEpsilon=Trueepsilon_value=1epsilon_final=0epsilon_decay=True# S:48 A:4v_s_value:np.ndarray q_sa_value:np.ndarray q_sa_value_best:np.ndarray ...
import matplotlib.pyplot as plt import rl_utils from tqdm import tqdm class Qnet(torch.nn.Module): ''' 只有一层隐藏层的Q网络 ''' def __init__(self, state_dim, hidden_dim, action_dim): super(Qnet, self).__init__() self.fc1 = torch.nn.Linear(state_dim, hidden_dim) ...
model_selection import train_test_split %matplotlib inline # Treatment effect function def exp_te(x): return np.exp(2*x[0]) # DGP constants np.random.seed(123) n = 2000 n_w = 30 support_size = 5 n_x = 1 # Outcome support support_Y = np.random.choice(np.arange(n_w), size=...
import matplotlib from sklearn.model_selection import train_test_split %matplotlib inline # Treatment effect function def exp_te(x): return np.exp(2*x[0]) # DGP constants np.random.seed(123) n = 2000 n_w = 30 support_size = 5 ...
bar.js │ ├── scroll.js │ └── styles.css ├── layouts/ │ ├── layout_404.py │ ├── layout_chaos.py │ ├── layout_main.py │ ├── layout_math.py │ └── layout_matplotlib.py ├── tests/ ├── AppFunctions.py ├── DoublePendulumHamiltonian.py ├──...
In Fig. 2 we show ray propagation for four of the profiles (2), the integration of the eikonal equation and plotting of the ray trajectories was carried out using the Python SciPy44, Numpy45, and Matplotlib46 libraries. Fig. 2: Double-layer lenses with foci at infinity. The Generalized ...