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-0.1.2.tar.gz
(13.2 kB
view hashes)
Built Distribution
Close
Hashes for gym_twolinkarm_env-0.1.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0484a0eca07ef9a7f1da0a85e3ccb813132f876125ef8f9d1dd00d62154f1571 |
|
MD5 | 02fe6abe67ac50dd86b68426e0e2e554 |
|
BLAKE2b-256 | 7c4f2e096decf7dcc8f81b3d27eba6833e3a86077631a5ee085ea55d0d5ed91d |