bnutfilloyev / GDG-WorkShop

Reinforcement Learning for everyone

GDG-WorkShop

Reinforcement Learning for everyone

Google Developer Group

CartPole Colab & Pong Colab

Time: 2022-05-29

OpenAI Gym

import gym
env = gym.make("CartPole-v1")
observation, info = env.reset(seed=42, return_info=True)
for _ in range(1000):
   env.render()
#    action = policy(observation)  # User-defined policy function
   observation, reward, done, info = env.step(1)

   if done:
      observation, info = env.reset(return_info=True)
env.close()

Keynote: https://bit.ly/3a3UHNI