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
Release history Release notifications | RSS feed
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-0.4.9.tar.gz
(18.1 kB
view hashes)
Built Distribution
Close
Hashes for haibot_rosgymbullet-0.4.9.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | e30f6a759473895230a54664110c6ae2dbca1566bd96cb8d66ec2386e6e868ad |
|
MD5 | 321a88ef7ba6af4fd1d4bbae268baca7 |
|
BLAKE2b-256 | bf6c2a9a9c5e8f6e852020fee2ebfdaeb5fa926f731db5a401a3aad6798bbb76 |
Close
Hashes for haibot_rosgymbullet-0.4.9-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 534c63bd78ebd5638ee65599a95b7efc724178059ca3f224eaa441cd9fbfedc5 |
|
MD5 | 3381ffa8b696af0ea48edb9c3e450771 |
|
BLAKE2b-256 | 4ebc32aab0e1aadab9dea3a7fad1031c9a3dcf08ad90d8fb61ddf3a01ee9ee9e |