show_videos('videos', prefix='ppo2') 3. 如何创建自定义环境? 上面知道了一般模型的训练方法和可视化,下面介绍如何创建自定义的 gym 环境。基础的接口应该符合如下规范: import gym from gym import spaces class CustomEnv(gym.Env): """Custom Environment that follows gym interface""" def __init__(se...
我们可以通过添加欧氏距离变量,然后从奖励中减去该距离来实现。 euclidean_dist_to_apple=np.linalg.norm(np.array(self.snake_head)-np.array(self.apple_position))self.total_reward=len(self.snake_position)-3-euclidean_dist_to_apple# default length is 3 创建新的脚本文件snakeenvp4.py,复制上节课中sna...
importgymimporttorchasthfromstable_baselines3importPPO# Custom actor (pi) and value function (vf) networks# of two layers of size 32 each with Relu activation functionpolicy_kwargs=dict(activation_fn=th.nn.ReLU,net_arch=[dict(pi=[32,32],vf=[32,32])])# Create the agentmodel=PPO("MlpP...
Any variables exposed in your custom environment will be accessible via locals dict. The example below shows how to access a key in a custom dictionary called my_custom_info_dict in vectorized environments. import numpy as np from stable_baselines3 import SAC from stable_baselines3.common.callbac...
I'm working with a Reinforcement Learning custom environment using Stable Baselines3's SAC algorithm. My environment has a max_steps_per_episode of 500. If the agent doesn't reach the goal within these steps, the episode is truncated and reset. I'm observing an unusual trend...
pip install stable_baselines3 针对需要自己搭建环境的用户来说,gym模块也是必不可少的,因为stable_baseline中的强化学习环境就是针对gym框架进行开发的 pip install gym 2、环境搭建 基于gym的环境模型一般都可以写成这样: # _*_coding:utf-8-*- import sys ...
Or just train a model with a one liner if [the environment is registered in Gym](https://github.com/openai/gym/wiki/Environments) and if [the policy is registered](https://stable-baselines3.readthedocs.io/en/master/guide/custom_policy.html): ...
(you are probably using `CnnPolicy` instead of `MlpPolicy`)\n" "If you are using a custom environment,\n" "please check it using our env checker:\n" "https://stable-baselines3.readthedocs.io/en/master/common/env_checker.html" ) n_input_channels = observation_...
Add custom objects support + bug fix (#336) 4年前 LICENSE Init: TD3 5年前 Makefile Implement HER (#120) 4年前 NOTICE Rename to stable-baselines3 4年前 README.md Update SB3 contrib algorithms (#604) 3年前 setup.cfg Dictionary Observations (#243) ...
Here is a quick example of how to train and run PPO2 on a cartpole environment:import gym from stable_baselines.common.policies import MlpPolicy from stable_baselines.common.vec_env import DummyVecEnv from stable_baselines import PPO2 env = gym.make('CartPole-v1') # Optional: PPO2 ...