dodox/fancy_gym
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Update README.md

Browse Source 
Updated gym website link
This commit is contained in:
ottofabian 2022-09-23 09:09:37 +02:00 committed by GitHub
parent a4f696dee4
commit a3466c3211
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
README.md
View File

@ -1,10 +1,10 @@
# Fancy Gym # Fancy Gym
`fancy_gym` offers a large variety of reinforcement learning environments under the unifying interface `fancy_gym` offers a large variety of reinforcement learning environments under the unifying interface
of [OpenAI gym](https://gym.openai.com/). We provide support (under the OpenAI gym interface) for the benchmark suites of [OpenAI gym](https://gymlibrary.dev/). We provide support (under the OpenAI gym interface) for the benchmark suites
[DeepMind Control](https://deepmind.com/research/publications/2020/dm-control-Software-and-Tasks-for-Continuous-Control) [DeepMind Control](https://deepmind.com/research/publications/2020/dm-control-Software-and-Tasks-for-Continuous-Control)
(DMC) and [Metaworld](https://meta-world.github.io/). If those are not sufficient and you want to create your own custom (DMC) and [Metaworld](https://meta-world.github.io/). If those are not sufficient and you want to create your own custom
gym environments, use [this guide](https://www.gymlibrary.ml/content/environment_creation/). We highly appreciate it, if gym environments, use [this guide](https://www.gymlibrary.dev/content/environment_creation/). We highly appreciate it, if
you would then submit a PR for this environment to become part of `fancy_gym`. you would then submit a PR for this environment to become part of `fancy_gym`.
In comparison to existing libraries, we additionally support to control agents with movement primitives, such as Dynamic In comparison to existing libraries, we additionally support to control agents with movement primitives, such as Dynamic
Movement Primitives (DMPs) and Probabilistic Movement Primitives (ProMP). Movement Primitives (DMPs) and Probabilistic Movement Primitives (ProMP).