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-0.1.1.tar.gz (16.9 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-0.1.1-py3-none-any.whl (20.4 kB view details)

Uploaded Python 3

File details

Details for the file gym_pushany-0.1.1.tar.gz.

File metadata

  • Download URL: gym_pushany-0.1.1.tar.gz
  • Upload date:
  • Size: 16.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for gym_pushany-0.1.1.tar.gz
Algorithm Hash digest
SHA256 6d9b2b7fd5fb5f29fc2ca94b01dd32399370b21a1494b0003317748729f24738
MD5 9e14af510962f719bb7ad8501d659bf7
BLAKE2b-256 e6b8b32506c955f89a7779a5d2c5c269dcb1a62f3bfba75cfb19b339b1513242

See more details on using hashes here.

File details

Details for the file gym_pushany-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: gym_pushany-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 20.4 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-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d34f1225ee9ff81bc58bbb421a9a429f1ecb1446836f8a589946055f42f01bc4
MD5 c53da19f0d05f38addbbd1351265cafe
BLAKE2b-256 faa6f6a72afba6414ad29971d514159c5f311961eca59514c5375265502cb844

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