This is the open-ai-gym environment for controlling two link arm
Project description
gym-twolinkarm-env
Installation
pip install gym-twolinkarm-env
Usage example
# coding: utf-8
import gym
import gym_twolinkarm_env
env = gym.make("TwoLinkArmEnv-v0")
for ep in range(10):
env.reset()
for step in range(200):
action = env.action_space.sample()
obs, rew, done, info = env.step(action)
env.render()
detail
env
state
phisics
reward
action
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
gym-twolinkarm-env-0.0.13.tar.gz
(12.7 kB
view hashes)
Built Distribution
Close
Hashes for gym-twolinkarm-env-0.0.13.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 825beb11276fa3df66547a1a662b359ec5cf2cc80fbf16ba5046f1d1ecc08a38 |
|
MD5 | fe566f97d12251ce38ed28085c3ee443 |
|
BLAKE2b-256 | ceace740c6aff1ae09fd3afd75b46561279f2fab11bf0f8ed3ea4106cfa90c03 |
Close
Hashes for gym_twolinkarm_env-0.0.13-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5d38283535e2c85542e1e0c06041cc77c5e7b1181cfafd88653b4c80269147f3 |
|
MD5 | 8a64f7572a79723a74be677d068af4f9 |
|
BLAKE2b-256 | 28cce20de2d63109e608b04583a23ab85c05ac8babffc5dc6e7604e0e0db468b |