Study Log (2020.03)

2020-03-31

• S-K RL
  • sequential_simulation_test.py
    • src/utils.py
    • src/training_utils.py
    • pyjssp > simulators.py
    • pyjssp > operationHelpers.py
    • pyjssp > machineHelpers.py
    • src/rl_networks.py

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2020-03-30

• S-K RL
  • sequential_simulation_test.py
    • src/utils.py
    • src/training_utils.py
    • pyjssp > simulators.py
    • pyjssp > operationHelpers.py
    • pyjssp > machineHelpers.py
    • src/rl_networks.py

---

2020-03-29

• S-K RL
  • sequential_simulation_test.py
    • src/utils.py
    • src/training_utils.py
    • pyjssp > simulators.py
    • pyjssp > operationHelpers.py
    • pyjssp > machineHelpers.py
    • src/rl_networks.py

---

2020-03-28

• S-K RL
  • sequential_simulation_test.py
    • src/utils.py
    • src/training_utils.py
    • pyjssp > simulators.py
    • pyjssp > operationHelpers.py
    • pyjssp > machineHelpers.py

---

2020-03-27

• S-K RL
  • sequential_simulation_test.py
    • src/agents.py
    • src/replay_memory.py
    • src/rl_networks.py
    • torch > linear.py
    • torch > parameter.py
    • torch > init.py
    • torch > grad_mode.py
    • torch > container.py
    • python3.7 > copy.py
    • torch > adam.py
    • torch > optimizer.py
    • torch > lr_scheduler.py

---

2020-03-26

• multi_step_actor
  • simple_actor_test.py
    • rl/QAgent.py
    • torch > module.py
    • rl/simple_action_brain.py
    • nn/mlp/mlp.py
    • torch > container.py
    • torch > linear.py
    • python3.7 > abc.py
    • torch > functional.py
    • torch > activation.py
    • wandb > wandb_torch.py
    • torch > tensor.py
    • wandb > data_types.py
    • python3.7 > functools.py
    • torch > function.py
    • torch > hooks.py
  • 코드 리뷰
• S-K RL
  • sequential_simulation_test.py
    • pyjssp > simulators.py
    • pyjssp > jobShopSamplers.py
      • Machine, Process Time Matrix 생성
    • pyjssp > operationHelpers.py
      • Operation 생성 클래스
    • pyjssp > machineHelpers.py
      • Machine 생성 클래스

---

2020-03-25

• multi_step_actor
  • simple_actor_test.py
    • rl/QAgent.py
    • torch > module.py
    • rl/simple_action_brain.py
    • nn/mlp/mlp.py
    • torch > container.py
    • torch > linear.py
    • python3.7 > abc.py
    • torch > functional.py
    • torch > activation.py
    • wandb > wandb_torch.py
    • torch > tensor.py
    • wandb > data_types.py
    • python3.7 > functools.py
    • torch > function.py
    • torch > hooks.py
  • 코드 리뷰
• 팡요랩
  • 쉽게 읽는 강화학습 논문 - 알파고 논문리뷰 3편

---

2020-03-24

• multi_step_actor
  • simple_actor_test.py
    • rl/QAgent.py
    • torch > module.py
    • rl/simple_action_brain.py
    • nn/mlp/mlp.py
    • torch > container.py
    • torch > linear.py
    • python3.7 > abc.py
    • torch > functional.py
    • torch > activation.py
    • wandb > wandb_torch.py
    • torch > tensor.py
    • wandb > data_types.py
    • python3.7 > functools.py
    • torch > function.py
    • torch > hooks.py
  • 코드 리뷰
• 팡요랩
  • 쉽게 읽는 강화학습 논문 - 알파고 논문리뷰 1편
  • 쉽게 읽는 강화학습 논문 - 알파고 논문리뷰 2편

---

2020-03-23

• multi_step_actor
  • 코드 리뷰

---

2020-03-22

• multi_step_actor
  • 코드 리뷰

---

2020-03-21

• multi_step_actor
  • 코드 리뷰

---

2020-03-20

• multi_step_actor
  • 코드 리뷰

---

2020-03-19

• multi_step_actor
  • 코드 리뷰

---

2020-03-18

• multi_step_actor
  • 코드 리뷰

---

2020-03-17

• multi_step_actor
  • 코드 리뷰

---

2020-03-16

• multi_step_actor
  • recurrent_actor_test.py
  • recurrent_input_actor_test.py
  • simple_actor_test_ported.py
  • 코드 리뷰

---

2020-03-15

• multi_step_actor
  • rl/brain.py
  • rl/QAgent.py
  • rl/recurrent_action_actor.py
  • rl/recurrent_action_brain.py
  • rl/recurrent_input_actor.py
  • rl/simple_action_actor.py
  • rl/simple_action_brain.py
  • rl/test_agent.py
  • rl/test_utils.py
  • utils
  • Differeniable_programming.ipynb
  • dp_test.py
  • random_actor_test.py
  • 코드 리뷰

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2020-03-14

• multi_step_actor
  • nn/rnn
  • optim
  • rl/agent_base.py
  • 코드 리뷰

---

2020-03-13

• multi_step_actor
  • dp
  • examples
  • memory
  • nn/mlp
  • 코드 리뷰

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2020-03-12

• multi_step_actor
  • simple_actor_test.py
    • rl/QAgent.py
    • torch > module.py
    • rl/simple_action_brain.py
    • nn/mlp/mlp.py
    • torch > container.py
    • torch > linear.py
    • python3.7 > abc.py
    • torch > functional.py
    • wandb > wandb_torch.py
    • wandb > data_types.py
    • python3.7 > functools.py
    • torch > function.py
    • torch > hooks.py
  • Debug로 코드 따라가며 이해하기

---

2020-03-11

• multi_step_actor
  • simple_actor_test.py
    • nn/mlp/mlp.py
    • rl/simple_action_actor.py
  • Debug로 코드 따라가며 이해하기

---

2020-03-09

• multi_step_actor
  • simple_actor_test.py
    • nn/mlp/mlp.py
    • rl/simple_action_actor.py
  • Debug로 코드 따라가며 이해하기

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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