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强化学习算法库,包含了目前主流的强化学习算法(Value based and Policy based)的代码,代码都经过调试并可以运行

Python 97.61% Jupyter Notebook 2.39%
actor-critic-algorithm algorithms ddpg-pytorch deep-qlearning-algorithm deep-reinforcement-learning dppo policy-gradient prioritized-experience-replay proximal-policy-optimization pytorch qlearning-algorithm reinforcement-learning td3-pytorch

reinforcementlearning's Introduction

Hi there 👋

My name is Shikunshen, a postgraduate student in School of Computer Science and Technology, Shandong University and my research includes RL, Data Science and Distributed Computing

  • 👯 I graduated from Whuhan University, School of Computer.
  • 💬 Now I'm working in the Institute of Intelligent Computing(IIC).
  • 🔭 I’m currently working on Reinforcement learning(RL) , distributed computing and Federated Learning.
  • 🌱 I’m currently learning RL algorithms and some algorithms in IOT and distributed systems.
  • 📫 How to reach me: [email protected].
  • ⚡ I’m interested in Machine Learning, Computer Vision, RL, FL and NLP and I'm also passionate about PC hardware.
  • 💬 You can ask me questions about: classic machine learning (svm,decision tree,kmeans...), computer vision(image classification,image translation,semantic. segmentation...), reinforcement learning(qlearning,policy gradient...) and PyTorch framework.

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reinforcementlearning's Issues

PPO问题

您好,感谢您的工作!

我在运行PPO算法时,其中PPOGitHub - model.py - 337行“state = t.from_numpy(state).to(self.device)”报错,
TypeError: expected np.ndarray (got tuple)

请问是什么问题呢?谢谢您

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