VisualEnv: visual Gym environments with Blender

11/15/2021
by   Andrea Scorsoglio, et al.
0

In this paper VisualEnv, a new tool for creating visual environment for reinforcement learning is introduced. It is the product of an integration of an open-source modelling and rendering software, Blender, and a python module used to generate environment model for simulation, OpenAI Gym. VisualEnv allows the user to create custom environments with photorealistic rendering capabilities and full integration with python. The framework is described and tested on a series of example problems that showcase its features for training reinforcement learning agents.

READ FULL TEXT

page 4

page 5

page 6

research
08/31/2018

APES: a Python toolbox for simulating reinforcement learning environments

Assisted by neural networks, reinforcement learning agents have been abl...
research
08/02/2022

Procedural Generation and Rendering of Realistic, Navigable Forest Environments: An Open-Source Tool

Simulation of forest environments has applications from entertainment an...
research
02/06/2023

PAseos Simulates the Environment for Operating multiple Spacecraft

The next generation of spacecraft is anticipated to enable various new a...
research
05/17/2022

DeepSim: A Reinforcement Learning Environment Build Toolkit for ROS and Gazebo

We propose DeepSim, a reinforcement learning environment build toolkit f...
research
03/22/2011

Rendering of 3D Dynamic Virtual Environments

In this paper we present a framework for the rendering of dynamic 3D vir...
research
11/11/2022

pyRDDLGym: From RDDL to Gym Environments

We present pyRDDLGym, a Python framework for auto-generation of OpenAI G...
research
05/06/2020

Introducing PyCross: PyCloudy Rendering Of Shape Software for pseudo 3D ionisation modelling of nebulae

Research into the processes of photoionised nebulae plays a significant ...

Please sign up or login with your details

Forgot password? Click here to reset