Skip to main content

DiffBot Ros-Gym-Bullet Environment

Project description

(*) DiffBot RosGymBullet instruction:

  • reset(): state constructor, returns the corresponding observation for each initialized state;
  • step(): action selection function, considered as input vsf used for the environment, instructing the kernel to act in the environment to go to the new state. This function returns 4 values: +) observation: corresponds to the current state; +) reward: the reward received from interacting with the environment when performing an action; +) done: when the state limit is reached, if True, the simulation ends, False resets the simulation; +) info: a dictionary that returns additional information about the returned environment.
  • render(): display simulation window of Gym environment;
  • close(): close the simulation window.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

haibot_rosgymbullet-0.3.7.tar.gz (17.5 kB view hashes)

Uploaded Source

Built Distribution

haibot_rosgymbullet-0.3.7-py3-none-any.whl (22.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page