football
holodeck
football | holodeck | |
---|---|---|
2 | 1 | |
3,253 | 564 | |
0.6% | 0.0% | |
0.0 | 0.0 | |
6 months ago | about 2 years ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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football
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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!
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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 :-
holodeck
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[P] Doing a clone of Rocket League for AI experiments. Trained an agent to air dribble the ball.
Tangentially related, but people interested in game engines for RL should check out Holodeck built on Unreal https://github.com/byu-pccl/holodeck
What are some alternatives?
robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
MATLAB-Simulink-Challenge-Project-Hub - This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.
space-gym - Challenging reinforcement learning environments with locomotion tasks in space
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]
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.
habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.
dmc2gymnasium - Gymnasium integration for the DeepMind Control (DMC) suite
ue4-docker - Windows and Linux containers for Unreal Engine 4
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).
ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
ai2thor-rearrangement - 🔀 Visual Room Rearrangement
Autonomous-Ai-drone-scripts - State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.