stable-baselines3为图像 (CnnPolicies)、其他类型的输入特征 (MlpPolicies) 和多个不同的输入 (MultiInputPolicies) 提供policy networks。 1.SB3 policy SB3网络分为两个主要部分: 一个特征提取器(通常在适用时在actor和critic之间共享),作用是从高维observation中提取特征转换为特征向量,例如用CNN从图像中提取特征。...
importgymfromstable_baselines3importPPOdefmain():env=gym.make('CartPole-v1')# 创建环境model=PPO("MlpPolicy",env,verbose=1)# 创建模型model.learn(total_timesteps=20000)# 训练模型model.save("ppo_cartpole")# 保存模型test_model(model)# 测试模型deftest_model(model):env=gym.make('CartPole-v1'...
3)_build_mlp_extractor函数 4)_build函数 5)evaluate_actions函数 BaseCallback PPO: 1)train函数 官方文档的Developer Guide虽然写了一部分,但是仅仅是讲了一个大概 DummyVecEnv 序列化的环境封装类,实现了环境的自动reset 1)step_wait 每次step时会调用,对于每个环境,依次调用其step函数 如果环境终止,重新创建一...
For advanced customization of off-policy algorithms policies, please take a look at the code. A good understanding of the algorithm used is required, see discussion in issue #425 from stable_baselines3 import SAC # Custom actor architecture with two layers of 64 units each # Custom critic arch...
Discrete:离散值的集合,如:Discrete(3)表示取值可以为0,1,2 Tuple:其他空间的元组,可以将Box,Discrete组成元组,如Tuple(Discrete(2), Box(0, 100, shape=(1, ))),但是stable-baselines3不支持Tuple,可以用Dict代替。 Dict:空间的字典,如Dict({'height':Discrete(2), 'speed':Box(0, 100, shape=(1,)...
classBaseAlgorithm(ABC):""" The base of RL algorithms :param policy: The policy model to use (MlpPolicy, CnnPolicy, ...) :param env: The environment to learn from (if registered in Gym, can be str. Can be None for loading trained models) :param learning_rate: learning rate for the...
stablebaseline3 Sayyor Y 1,238 asked Jul 7 at 22:11 0 votes 0 answers 23 views RL Model training I trained a PPO algorithm using stablebaselines3, but when loading the model this happens NotImplementedError: <class 'stable_baselines3.common.policies.ActorCriticCnnPolicy'> observation spac...
Now I have come across Stable Baselines3, which makes a DQN agent implementation fairly easy. However, it does seem to support the new Gymnasium. Namely: import gymnasium as gym from stable_baselines3.ppo.policies import MlpPolicy from stable_baselines3 import DQN env = gym.make("myEnv") ...
Fixed stable_baselines3/common/distributions.py type hints Fixed stable_baselines3/common/vec_env/vec_normalize.py type hints Fixed stable_baselines3/common/vec_env/__init__.py type hints Switched to PyTorch 2.1.0 in the CI (fixes type annotations) Fixed stable_baselines3/common/policies.py ...
Init: TD3 5年前 Makefile Implement HER (#120) 4年前 NOTICE Rename to stable-baselines3 4年前 README.md Make installation command compatible with ZSH (#376) 3年前 setup.cfg Implement HER (#120) 4年前 setup.py Fix default arguments + add bugbear (#363) ...