Study Log (2020.05)

2020-05-31

• S-K RL
  • train_FT10_ppo_node_only.py
    • pyjssp > benchmarks.py
    • pyjssp > simulators.py
    • pyjssp > jobShopSamplers.py
    • pyjssp > operationHelpers.py
    • src > node_only_agents.py
    • src/agents.py
    • src/rl_networks.py
    • torch > linear.py
    • src/training_utils.py
    • src/utils.py
    • src > nn.py

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2020-05-29

• Stanford Spring 2020
  • CS230
    • Introduction to Word Embeddings

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2020-05-28

• Stanford Spring 2020
  • CS230
    • Programming assignments

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2020-05-27

• Stanford Spring 2020
  • CS230
    • Practice questions
    • Programming assignments

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2020-05-26

• Stanford Spring 2020
  • CS230
    • Recurrent Neural Networks

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2020-05-25

• 팡요랩
  • 강화학습 3강 - Planning by Dynamic Programming

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2020-05-24

• 팡요랩
  • 강화학습 2강 - Markov Decision Process

---

2020-05-23

• 팡요랩
  • 강화학습 1강 - 강화학습 introduction

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2020-05-22

• S-K RL
  • train_FT10_ppo_node_only.py
    • wandb 라이브러리 추가 및 테스트

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2020-05-21

• Stanford Spring 2020
  • CS230
    • Face Recognition
    • Neural Style Transfer
    • Practice questions
    • Programming assignments

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2020-05-20

• Stanford Spring 2020
  • CS230
    • Detection algorithms
    • Practice questions
    • Programming assignments

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2020-05-16

• S-K RL
  • train_FT10_ppo_node_only.py
    • pyjssp > benchmarks.py
    • pyjssp > simulators.py
    • pyjssp > jobShopSamplers.py
    • pyjssp > operationHelpers.py
    • src > node_only_agents.py
    • src/agents.py
    • src/rl_networks.py
    • torch > linear.py
    • src/training_utils.py
    • src/utils.py
    • src > nn.py

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2020-05-15

• S-K RL
  • train_FT10_ppo_node_only.py
    • pyjssp > benchmarks.py
    • pyjssp > simulators.py
    • pyjssp > jobShopSamplers.py
    • pyjssp > operationHelpers.py
    • src > node_only_agents.py
    • src/agents.py
    • src/rl_networks.py
    • torch > linear.py
    • src/training_utils.py
    • src/utils.py
    • src > nn.py
• Stanford Spring 2020
  • CS230
    • Practice questions
    • Programming assignments

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2020-05-14

• S-K RL
  • train_FT10_ppo_node_only.py
    • pyjssp > benchmarks.py
    • pyjssp > simulators.py
    • pyjssp > jobShopSamplers.py
    • pyjssp > operationHelpers.py
    • src > node_only_agents.py
    • src/agents.py
    • src/rl_networks.py
    • torch > linear.py
    • src/training_utils.py
    • src/utils.py
    • src > nn.py
• Stanford Spring 2020
  • CS230
    • Practical advices for using ConvNets

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2020-05-13

• S-K RL
  • train_FT10_ppo_node_only.py
    • pyjssp > benchmarks.py
    • pyjssp > simulators.py
    • pyjssp > jobShopSamplers.py
    • pyjssp > operationHelpers.py
    • src > node_only_agents.py
    • src/agents.py
    • src/rl_networks.py
    • torch > linear.py
    • src/training_utils.py
    • src/utils.py
    • src > nn.py
• Stanford Spring 2020
  • CS230
    • Case studies

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2020-05-12

• S-K RL
  • train_FT10_ppo_node_only.py
    • pyjssp > benchmarks.py
    • pyjssp > simulators.py
    • pyjssp > jobShopSamplers.py
    • pyjssp > operationHelpers.py
    • src > node_only_agents.py
    • src/agents.py
    • src/rl_networks.py
    • torch > linear.py
    • src/training_utils.py
    • src/utils.py
    • src > nn.py
• Stanford Spring 2020
  • CS230
    • Practice questions
    • Programming assignments

---

2020-05-11

• S-K RL
  • train_FT10_ppo_node_only.py
    • pyjssp > benchmarks.py
    • pyjssp > simulators.py
    • pyjssp > jobShopSamplers.py
    • pyjssp > operationHelpers.py
    • src > node_only_agents.py
    • src/agents.py
    • src/rl_networks.py
    • torch > linear.py
    • src/training_utils.py
    • src/utils.py
    • src > nn.py
• Stanford Spring 2020
  • CS230
    • Convolutional Neural Networks

---

2020-05-10

• S-K RL
  • train_FT10_ppo_node_only.py
    • pyjssp > benchmarks.py
    • pyjssp > simulators.py
    • pyjssp > jobShopSamplers.py
    • pyjssp > operationHelpers.py
    • src > node_only_agents.py
    • src/agents.py
    • src/rl_networks.py
    • torch > linear.py
    • src/training_utils.py
    • src/utils.py
    • src > nn.py
• Stanford Spring 2020
  • CS230
    • Convolutional Neural Networks

---

2020-05-03

• S-K RL
  • train_FT10_ppo_node_only.py
    • pyjssp > benchmarks.py
    • pyjssp > simulators.py
    • pyjssp > jobShopSamplers.py
    • pyjssp > operationHelpers.py
    • src > node_only_agents.py
    • src/agents.py
    • src/rl_networks.py
    • torch > linear.py
    • src/training_utils.py
    • src/utils.py
    • src > nn.py
• 팡요랩
  • 쉽게 읽는 강화학습 논문 2화 - 알파고 제로(Zero) 논문 리뷰
• Stanford Spring 2020
  • CS230
    • Learning from multiple tasks
    • End-to-end deep learning
    • Machine Learning flight simulator

---

2020-05-02

• S-K RL
  • train_FT10_ppo_node_only.py
    • pyjssp > benchmarks.py
    • pyjssp > simulators.py
    • pyjssp > jobShopSamplers.py
    • pyjssp > operationHelpers.py
    • src > node_only_agents.py
    • src/agents.py
    • src/rl_networks.py
    • torch > linear.py
    • src/training_utils.py
    • src/utils.py
    • src > nn.py
• Stanford Spring 2020
  • CS230
    • Mismatched Training and Dev/Test set

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2020-05-01

• S-K RL
  • train_FT10_ppo_node_only.py
    • pyjssp > benchmarks.py
    • pyjssp > simulators.py
    • pyjssp > jobShopSamplers.py
    • pyjssp > operationHelpers.py
    • src > node_only_agents.py
    • src/agents.py
    • src/rl_networks.py
    • torch > linear.py
    • src/training_utils.py
    • src/utils.py
    • src > nn.py

---

Template

• Fundamental of Reinforcement Learning
  • Chapter #.
• 모두를 위한 머신러닝/딥러닝 강의
  • Lecture #.
• UCL Course on RL
  • Lecture #.
• Reinforcement Learning
  • Page #.
• 팡요랩
  • Lecture #.
• Pattern Recognition & Machine Learning
• S-K RL
• multi_step_actor
• Stanford Spring 2020
  • CS229
    • Lecture #.
  • CS230
    • Lecture #.
  • CS231n
    • Lecture #.