随机策略测试代码 import os import sys base_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..')) sys.path.append(base_path) import numpy as np import time from gym.utils.env_checker import check_env from environment.Env_RollingBall import RollingBall, DiscreteActionWrapp...
训练代码,请将训练的checkpoint保存路径和图片输出路径改为自己的路径 importgymimporttorchimporttorch.nn.functionalasFimportnumpyasnpimportmatplotlib.pyplotaspltimportrl_utilsfromtqdmimporttqdm# 定义策略网络,用于生成动作概率分布classPolicyNet(torch.nn.Module):def__init__(self,state_dim,hidden_dim,action_dim...
268 + "mv_return = rl_utils.moving_average(return_list, 9)\n", 269 + "plt.plot(episodes_list, mv_return)\n", 270 + "plt.xlabel('Episodes')\n", 271 + "plt.ylabel('Returns')\n", 272 + "plt.title('DDPG on {}'.format(env_name))\n", 273 + "plt.show()" 274...
from gym.utils.env_checker import check_env from gym.wrappers import TimeLimit class PolicyNet(torch.nn.Module): ''' 策略网络是一个两层 MLP ''' def __init__(self, input_dim, hidden_dim, output_dim): super(PolicyNet, self).__init__() self.fc1 = torch.nn.Linear(input_dim, hidd...
utils.model_parallel_utils import assert_device_map, get_device_map from safe_rlhf.models.score_model import ScoreModelOutput from safe_rlhf.models.score_model import ScoreModelMixin, ScoreModelOutput @add_start_docstrings( Expand All @@ -41,21 +40,19 @@ """, GPT2_START_DOCSTRING, ) ...
[utils] REVIEWED: exit() on LOG_FATAL instead of LOG_ERROR (#1796) [examples] ADDED: core_custom_frame_control [examples] ADDED: core_basic_screen_manager [examples] ADDED: core_split_screen (#1806) by @JeffM2501 [examples] ADDED: core_smooth_pixelperfect (#1771) by @NotManyIdea...
from gym.utils.env_checker import check_env env_name = 'CartPole-v0' env = gym.make(env_name, render_mode='human') check_env(env.unwrapped) # 检查环境是否符合 gym 规范 env.action_space.seed(10) observation, _ = env.reset(seed=10) ...
boyu-ai/Hands-on-RLPublic NotificationsYou must be signed in to change notification settings Fork653 Star3.3k Code Issues62 Pull requests1 Actions Projects Security Insights Additional navigation options Files main LICENSE README.md rl_utils.py ...
if __name__ == "__main__": def moving_average(a, window_size): ''' 生成序列 a 的滑动平均序列 ''' cumulative_sum = np.cumsum(np.insert(a, 0, 0)) middle = (cumulative_sum[window_size:] - cumulative_sum[:-window_size]) / window_size r = np.arange(1, window_size-1, 2...
aBot, loadedParams, optim_state = utils.loadModel(params, 'abot') for key in loadedParams: params[key] = loadedParams[key] parameters.extend(aBot.parameters()) # Loading Q-Bot if params['trainMode'] in ['sl-qbot', 'rl-full-QAf']: qBot, loadedParams, optim_state = utils.loadModel...