Skip to main content

A gymnasium environment for pushany.

Project description

Install Anypush

pip install anypush

Example

import gymnasium as gym
import gym_pushany

# OBJECT_NAME_LIST = [
#     't',
#     '0',
#     '1',
#     '2',
#     '3',
#     '4',
#     '5',
#     '6',
#     '7',
#     '8',
#     '9',
#     'ellipse',
#     'rectangle',
#     'reg3',
#     'reg4',
#     'reg5',
#     'reg6',
#     'reg7',
#     'reg8',
#     'reg9',
#     'reg10'
# ]

object_name = 'ellipse'  
use_obstacles = True     
env = gym.make("pushany/PushAny-v0", object_name=object_name, use_obstacles=use_obstacles)
observation, info = env.reset()

for _ in range(1000):
    action = env.action_space.sample()
    observation, reward, terminated, truncated, info = env.step(action)
    image = env.render()

    print(f'terminated: {terminated}, truncated: {truncated}')
    if terminated or truncated:
        observation, info = env.reset()

env.close()

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

gym_pushany-0.1.6.tar.gz (17.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gym_pushany-0.1.6-py3-none-any.whl (20.6 kB view details)

Uploaded Python 3

File details

Details for the file gym_pushany-0.1.6.tar.gz.

File metadata

  • Download URL: gym_pushany-0.1.6.tar.gz
  • Upload date:
  • Size: 17.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for gym_pushany-0.1.6.tar.gz
Algorithm Hash digest
SHA256 6381b6d1c365270f26a52e9b812035f1e718c0f1fa3883515a7c2c6b63c7a4fd
MD5 56fe24958ff735936468332793c87fb1
BLAKE2b-256 4136789d7779e22ca4854a4d66fdc0c507e6ac4acf7dbef5ad3e3fbca1908b1f

See more details on using hashes here.

File details

Details for the file gym_pushany-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: gym_pushany-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 20.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for gym_pushany-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 198866fff07b0fd03720dfc602a8abf2f2d4b899e64be761d6276a93e7e8b0dd
MD5 e18c4dffd4edb955b84112e509fdb7f5
BLAKE2b-256 bccddd4bba5388e2ecd9b9a1b24b0b3a8a2fde5f6a11e2d8832a1b2847ea128e

See more details on using hashes here.

Supported by

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