可以直接安装Anaconda：Python数据分析与挖掘好帮手—Anaconda，它内置了Python和pip.
Now, let's build a basic computation graph and visualize that in TensorBoard. First, let's import the library: import tensorflow as tf Next, we initialize the variables: a = tf.constant(5) b = tf.constant(4) c = tf.multiply(a,b) ...
In this paper, we introduce d3rlpy, an open-sourced offline deep reinforcement learning (RL) library for Python. d3rlpy supports a number of offline deep RL algorithms as well as online algorithms via a user-friendly API. To assist deep RL research and development projects, d3rlpy prov...
Star0 Python library for Reinforcement Learning experiments. License MIT license 0stars149forksBranchesTagsActivity Star Notifications master 2Branches1Tag Code This branch is965 commits behindMushroomRL/mushroom-rl:master. Folders and files 82a87bd·Jul 23, 2018 ...
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning. pytorch.org/rl Topics machine-learning control reinforcement-learning ai robotics decision-making distributed-computing torch pytorch rl model-based-reinforcement-learning multi-agent-reinforcement-learning marl Resources ...
By putting all frames together using the moviepy library, we can create the GIF you saw earlier: As a side note, you can adjust the fps parameter to make the GIF faster if you run many time steps. Now that we see the agent is simply performing random actions, it's time to try some...
Gym Documentation (gymlibrary.dev)Gym 官方仅支持 Linux 或使用 UNIX 内核的操作系统，也就是 Ubuntu ...
Delve into the world of reinforcement learning algorithms and apply them to different use-cases with Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym.
deepreinforcementlearning,andbuildingahandwrittendigitrecognitionmodelinPythonusinganimagedataset.Finally,you’llexcelinplayingtheboardgameGowiththehelpofQ-Learningandreinforcementlearningalgorithms.Bytheendofthisbook,you’llnotonlyhavedevelopedhands-ontrainingonconcepts,algorithms,andtechniquesofreinforcementlearningbut...
#!/usr/bin/env python3 # -*- coding=utf-8 -*- # The PTAN library——The TargetNet class # TargetNet允许我们同步具有相同架构的两个网络,其目的是为了提高训练稳定性 # https://www.cnblogs.com/kailugaji/ import ptan import torch.nn as nn # 创建网络 class DQNNet(nn.Module): def __in...