VisualEnv: visual Gym environments with Blender
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 11 of its 22 references that are in the map. First posted on arXiv 15 Nov 2021.
Builds on
11 of 22 references.
References · 11
- 2017Proximal Policy Optimization Algorithmscited by 14,441
- 2015Continuous control with deep reinforcement learningcited by 3,279
- 2013Playing Atari with Deep Reinforcement Learningcited by 3,211
- 2015Trust Region Policy Optimizationcited by 2,503
- 2016Asynchronous Methods for Deep Reinforcement Learningcited by 2,218
- 2019Dota 2 with Large Scale Deep Reinforcement Learningcited by 1,084
- 2020Deep Reinforcement Learning for Autonomous Driving: A Surveycited by 698
- 2016Safe, Multi-Agent, Reinforcement Learning for Autonomous Drivingcited by 301
- 2017StarCraft II: A New Challenge for Reinforcement Learningcited by 268
- 2016ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learningcited by 178
- 2020Adaptive Generalized ZEM-ZEV Feedback Guidance for Planetary Landing via a Deep Reinforcement Learning Approachcited by 6
Built on by
Citing papers per year: 2022: 1.
1 paper.
- 2022GriddlyJS: A Web IDE for Reinforcement Learningcited by 4
- 2022GriddlyJS: A Web IDE for Reinforcement Learning13 Jul 2022