Study Log (2020.06)

2020-06-29

• 팡요랩
  • 강화학습 7강 - Policy Gradient
  • 강화학습 8강 - Integrating Learning and Planning

---

2020-06-28

• 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

---

2020-06-11

• 팡요랩
  • 강화학습 7강 - Policy Gradient

---

2020-06-10

• 팡요랩
  • 강화학습 6강 - Value Function Approximation

---

2020-06-04

• 팡요랩
  • 강화학습 5강 - Model Free Control

---

2020-06-03

• 팡요랩
  • 강화학습 4강 - Model Free Prediction

---

2020-06-02

• Stanford Spring 2020
  • CS230
    • Applications using Word Embeddings
    • Practice questions
    • Programming assignments

---

2020-06-01

• 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
• Stanford Spring 2020
  • CS230
    • Learning Word Embeddings: Word2vec & GloVe

---

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 #.