gym version:0.21.0 一、保存模型 当前我们需要训练的代码如下: importgymfromstable_baselines3importPPOenv=gym.make('LunarLander-v2')env.reset()model=PPO('MlpPolicy',env,verbose=1)model.learn(total_timesteps=100000) 我们将训练步数降低为 10000 步,同时创建保存模型及日志的目录文件夹: importosmodels_...
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def__init__(self):super(SnekEnv,self).__init__()# Define action and observation space# They must be gym.spaces objects# Example when using discrete actions:self.action_space=spaces.Discrete(4)# Example for using image as input (channel-first; channel-last also works):self.observation_spac...
一、stable-baselines3库是干什么的 Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch. It is the next major version of Stable Baselines. 二、为什么要用公共库 简单,方便 三、stable-baselines3简单实例 importgymfromstable_baselines3importPPOfroms...
gym-to-retro 9Branches 15Tags Code README Code of conduct License Stable Baselines3 Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch. It is the next major version ofStable Baselines. ...
Stable-Baselines3 v1.8.0: Multi-env HerReplayBuffer, Open RL Benchmark, Improved env checker Warning Stable-Baselines3 (SB3) v1.8.0 will be the last one to use Gym as a backend. Starting with v2.0.0, Gymnasium will be the default backend (though SB3 will have compatibility layers for ...
import gym from stable_baselines3 import PPO env = gym.make("CartPole-v1") model = PPO("MlpPolicy", env, verbose=1) model.learn(total_timesteps=10000) obs = env.reset() for i in range(1000): action, _states = model.predict(obs, deterministic=True) obs, reward, done, info = ...
Stable Baselines3 支持处理多个输入使用DictGym 空间。这可以使用MultiInputPolicy来完成 ,默认情况下使用CombinedExtractor特征提取器将多个输入转换为单个向量,由net_arch网络处理。 默认情况下,CombinedExtractor按如下方式处理多个输入: 如果输入是图像(自动检测,请参阅common.preprocessing.is_image_space),则使用 Nature...
from stable_baselines3 import DQN env_name = "MountainCar-v0" env = gym.make(env_name) config = { 'batch_size': 128, 'buffer_size': 10000, 'exploration_final_eps': 0.07, 'exploration_fraction': 0.2, 'gamma': 0.98, 'gradient_steps': 8, # don't do a single gradient update, but...
pythonopenai-gympytorchstable-baselines The*_*ail lucky-day 9 推荐指数 1 解决办法 2万 查看次数 稳定基线3库中的“确定性= True”是什么意思? 我正在尝试将稳定基线3库https://stable-baselines3.readthedocs.io/en/master/中的 PPO 算法应用到我制作的自定义环境中。