football
Gym-Trading-Env
football | Gym-Trading-Env | |
---|---|---|
2 | 2 | |
3,253 | 230 | |
0.6% | - | |
0.0 | 4.4 | |
6 months ago | 15 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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.
football
-
Creating a new football game
For fun, merging such an idea with Google's open source football research project and its AI could result in a very interesting game!
-
How to find which Manjaro package corresponds to which Debian packages?
So I switched to Manjaro from Ubuntu quite some time ago and I am loving the decision whenever I have to build an application there are a bunch of required packages that the application to build is dependent on. But as Debian-based distros are the most popular, the packages are listed as in the Debian Repository. So is there a way I can find which package in Manjaro Repository corresponds to the one in the Debian Repositories as the names of the packages are usually different. Like I was recently trying to install google-research football on my machine and there were the following packages listed as dependencies :-
Gym-Trading-Env
-
Trading Environment for Reinforcement Learning - Documentation available
Documentation | GitHub repo
-
Gym Trading Environment for Reinforcement Learning in Finance
Here is the Github repo : https://github.com/ClementPerroud/Gym-Trading-Env
What are some alternatives?
robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
freqtrade-gym - A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.
space-gym - Challenging reinforcement learning environments with locomotion tasks in space
gym-mtsim - A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
dmc2gymnasium - Gymnasium integration for the DeepMind Control (DMC) suite
loopquest - A Production Tool for Embodied AI
ai-economist - Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
gym-simplegrid - Simple Gridworld Gymnasium Environment
pyreason-gym - An OpenAI wrapper for PyReason to use in a Grid World reinforcement learning setting