Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
huanghao huanghao
HenryJia
/ pid_cartpole.py
Last active
July 15, 2022 17:34
Solving OpenAI's Cartpole with a very simple PID controller in 35 lines
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| import numpy as np | |
| import gym | |
| def sigmoid(x): | |
| return 1.0 / (1.0 + np.exp(-x)) | |
| env = gym.make('CartPole-v1') | |
| desired_state = np.array([0, 0, 0, 0]) | |
| desired_mask = np.array([0, 0, 1, 0]) |
awjuliani
/ Q-Table Learning-Clean.ipynb
Last active
October 25, 2022 07:57
Q-Table learning in OpenAI grid world.
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