Advantage Actor Critic (A2C)、Proximal Policy Optimization (PPO)和使用Kronecker-factored approximation (ACKTR)的深度强化学习的可扩展信赖域方法的PyTorch实现。 pytorch-a2c-ppo-acktr 请使用此自述文件中的超参数。 对于其他超参数,事情可能不起作用(毕竟是 RL)!
目录1.ppo算法概述2.Pendulum-v03.代码实现1.ppo算法概述 PG算法 上图表示actor与环境交互的一次经过,从开始的状态s1,actor输出a1到环境状 ppo算法pytorch处理连续型 python 神经网络 pytorch 强化学习 PPO 强化学习 pytorch ppo算法pytorch 上面3篇已经删除PyTorch PPO 源码解读 (pytorch-a2c-ppo-acktr-gail)-老...
a2c_ppo_acktr algo __init__.py arguments.py distributions.py envs.py model.py storage.py utils.py adaptec3 base_placement bin dreamplace gail_experts img include logs ops result test thirdparty time_limit_logs unittest .gitignore BasicPlace.py CMakeLists.txt EvalMetrics.py LICENSE NesterovAcc...
pytorch-a2c-ppo-acktr-gail This library is derived from code by Ilya Kostrikov:https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail Please use this bibtex if you want to cite this repository in your publications: @misc{pytorchrl, author = {Kostrikov, Ilya}, title = {PyTorch Implement...
sys.path.append('a2c_ppo_acktr') parser=argparse.ArgumentParser(description='RL') parser.add_argument( '--seed',type=int,default=1,help='random seed (default: 1)') parser.add_argument( '--log-interval', type=int, default=10,
Breadcrumbs DeepPlace /a2c_ppo_acktr / distributions.pyTop File metadata and controls Code Blame 109 lines (77 loc) · 2.74 KB Raw import math import torch import torch.nn as nn import torch.nn.functional as F from a2c_ppo_acktr.utils import AddBias, init """ Modify standard PyTorch di...
Also see the OpenAI posts:A2C/ACKTRandPPOfor more information. This implementation is inspired by the OpenAI baselines forA2C,ACKTRandPPO. It uses the same hyper parameters and the model since they were well tuned for Atari games. Please use this bibtex if you want to cite this repository ...
Also see the OpenAI posts:A2C/ACKTRandPPOfor more information. This implementation is inspired by the OpenAI baselines forA2C,ACKTRandPPO. It uses the same hyper parameters and the model since they were well tuned for Atari games. Please use this bibtex if you want to cite this repository ...