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Example environments for Reinforcement Learning with ry

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ryenv

This package contains a collection of environments for reinforcement learning with python. The environments are simulations in PhysX based on rai and the corresponding python bindings rai-python.

Setup

Required manual setup

  • rai-python has to be cloned into $HOME/git/ and built there (use PhysX=1)

Installation

Then, clone this repo and install the project with editable files:

$ pip install -e .

To just install (without cloning the package) you can also use:

$ pip install git+ssh://git@github.com/ischubert/ryenv.git@master#egg=ryenv

Environments

DiskEnv

A simple environment of a disk being pushed on a 2D table by a 2D finger.

DiskMazeEnv

Like DiskEnv, but there is a randomly generated maze on the table.

BoxEnv

Box on a table, 10DoF

PickAndPlaceEnv

Disk on a table, with "sticky" pick-and-place

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Example environments for Reinforcement Learning with ry

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  • Python 90.7%
  • GAP 9.3%