PyGame-Learning-Environment VS DI-sheep

Compare PyGame-Learning-Environment vs DI-sheep and see what are their differences.

PyGame-Learning-Environment

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python. (by ntasfi)
reinforcement-learning Game Artificial intelligence Agent Machine Learning Pygame Python deep-reinforcement-learning AI Research
Source Code
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DI-sheep

羊了个羊 + 深度强化学习（Deep Reinforcement Learning + 3 Tiles Game) (by opendilab)
deep-reinforcement-learning Python reinforcement-learning JavaScript TypeScript React Artificial intelligence di-engine
Source Code
opendilab.net
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PyGame-Learning-Environment DI-sheep
1 1
989 362
- 0.0%
0.0 10.0
over 2 years ago about 1 year ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

PyGame-Learning-Environment

Posts with mentions or reviews of PyGame-Learning-Environment. We have used some of these posts to build our list of alternatives and similar projects.
  • How do I run a Pygame Image visually?
    1 project | /r/docker | 12 Jun 2022
    Accessing host graphics with docker is tricky. If you’re running the container on a unix system, you could try this medium article. This Dockerfile also has setup instructions for unix and macos.

DI-sheep

Posts with mentions or reviews of DI-sheep. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing PyGame-Learning-Environment and DI-sheep you can also consider the following projects:

habitat-api - A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators. [Moved to: https://github.com/facebookresearch/habitat-lab]

OpenDAN-Personal-AI-OS - OpenDAN is an open source Personal AI OS , which consolidates various AI modules in one place for your personal use.

auction-app - A simple auction app built with React and Django.

Dino-Game-AI - A simple pygame dino game which can also be trained and played by a NEAT AI

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

GnomansLand - An open-world reinforcement learning playground for gnomes filled with dangerous peril and bountiful treasure.

phillip - The SSBM "Phillip" AI.

ParticleOverdose - Stylish Slasher: Speed Run Edition, An RGB Action Platformer made with pygame-ce

habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.

Bolan.py - Bolan.py is a clone of Google Chrome's well-known Dinosaur Game written on Python 3 using the Pygame game development framework.

deepdrive - Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

PyGame-Learning-Environment vs habitat-api DI-sheep vs habitat-api PyGame-Learning-Environment vs OpenDAN-Personal-AI-OS DI-sheep vs auction-app PyGame-Learning-Environment vs Dino-Game-AI DI-sheep vs cleanrl PyGame-Learning-Environment vs GnomansLand DI-sheep vs phillip PyGame-Learning-Environment vs ParticleOverdose DI-sheep vs habitat-lab PyGame-Learning-Environment vs Bolan.py DI-sheep vs deepdrive