资源算法deeprl_practice_colab

deeprl_practice_colab

2020-02-13 | |  35 |   0 |   0

Deep Reinforcement Learning Practice with Google Colab

Day 1: Value-Based RL

Day 2: Policy-Based RL

  • 실습 교육 내용:

    1. REINFORCE

    2. Vanilla Policy Gradient (VPG) in the RLLAB library

  • 실습 내용:

Day 3: Transfer Learning

  • 실습 교육 내용:

  • 실습 내용:

    • Hyperparameter 조절해가면서 직접 실험.


上一篇:deeprl-intro

下一篇:deeprl-snes

用户评价
全部评价

热门资源

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • spark-corenlp

    This package wraps Stanford CoreNLP annotators ...

  • Keras-ResNeXt

    Keras ResNeXt Implementation of ResNeXt models...

  • capsnet-with-caps...

    CapsNet with capsule-wise convolution Project ...

  • inferno-boilerplate

    This is a very basic boilerplate example for pe...