Custom environment for OpenAI gym
Project description
gym-trajectory
Custom environment for OpenAI gym
N-dimensional trajectory
import gym
import gym_trajectory
env = gym.make('Trajectory-v0')
observation = env.reset()
while True:
(observation, reward, done, info) = env.step(env.action_space.sample())
env.render()
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