ultimate-volleyball
RoboLeague
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ultimate-volleyball | RoboLeague | |
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13 | 11 | |
84 | 295 | |
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0.0 | 0.0 | |
about 2 years ago | about 3 years ago | |
C# | C# | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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ultimate-volleyball
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Volleyball agents trained using competitive self-play [tutorial + project link]
As linked in the tutorial, a Unity ML environment: https://github.com/CoderOneHQ/ultimate-volleyball
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Competitive self-play with Unity ML-Agents
The latest version of the Ultimate Volleyball repo (or, you can use your own volleyball environment if you've been following the tutorial series)
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Show HN: Bomberland – An AI competition to build the best Bomberman bot
No others (at the moment). We're a small team so Bomberland is our current focus - we want to improve the tooling first so that it's easy for people to dive into ML before we introduce other environments.
We do have a mini-project called Ultimate Volleyball (https://github.com/CoderOneHQ/ultimate-volleyball) built on Unity ML-Agents. It's intended more as an introduction to deep reinforcement learning, and we wrote some tutorials for it here if anyone's interested: https://www.gocoder.one/blog/hands-on-introduction-to-deep-r...
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How to train agents to play volleyball using deep reinforcement learning
Ultimate Volleyball Repo
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Design reinforcement learning agents using Unity ML-Agents
If you get stuck, check out the pre-configured BlueAgent , or see the full source code in the Ultimate Volleyball project repo.
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Bomberland: a 2D multi-agent environment for AI agents based on Bomberman
We're launching an upcoming project called Coder One where you can build agents to compete in a 2D game based on Bomberman.
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A multi-agent artificial intelligence playground [Looking for feedback]
If you're interested in checking it out, this is the website: https://www.gocoder.one
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A hands-on introduction to deep reinforcement learning using Unity ML-Agents
In this series, I'll walk you through how to use Unity ML-Agents to build a volleyball environment and train agents to play in it using deep RL. For a bit of fun and extra incentive, you'll be able to submit your trained agent to the Ultimate Volleyball leaderboard and have it compete against other agents.
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Last week fluff-free AI, ML, and data-related original articles summary
- Elon Musk unveils Tesla Bot, a humanoid robot that uses vehicle AI read - Multi-agent reinforcement learning environment built on Unity ML-Agents link read - Up to 40% of GitHub Copilot's generated code can be vulnerable read
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[P] A 3D Volleyball reinforcement learning environment built with Unity ML-Agents
Project: Link
RoboLeague
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My ML AI bot just learned how to turtle (10 seconds mark) | RoboLeague car soccer environment made in Unity3D
Hello everyone! In my first devlog, I introduced you to RoboLeague - my open-source car soccer environment for AI experiments and research inspired by Rocket League. It is made in Unity3D, every Rocket League mechanic you see in the videos was implemented from scratch and is identical to the real game. I will also release a free game, where you will be able to refine your skills playing solo or vs the AI. The demo should be released soon (TM). More videos and info about the demo will be on my Twitter.
already there https://github.com/roboserg/RoboLeague
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Trained an AI agent for over 24h to freestyle through the rings map. Made with Unity3d, more info inside.
Hello everyone! In my first devlog, I introduced you to RoboLeague - my open-source car soccer environment for AI experiments and research inspired by Rocket League. It is made in Unity3D, every Rocket League mechanic you see in the videos was implemented from scratch and is identical to the real game. I will also release a free game, where you will be able to refine your skills playing solo or vs the AI. The demo should be released soon (TM). More videos and info about the demo will be on my Twitter.
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AI learned to freestyle in the obstacle course on its own! The power of Machine Learning.
Twitter| RoboLeague Github | Previous devlog
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Trained an AI with ML to air dribble the ball in my Rocket League clone for AI research
The project is called RoboLeague and is open source, available here. More videos are also on my Twitter.
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RoboLeague devlog #2: Training an AI to navigate an obstacle course with Unity ML agents
Twitter| RoboLeague Github | Previous devlog
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P Doing A Clone Of Rocket League For Ai
The code is here https://github.com/roboserg/RoboLeague/blob/master/Assets/ML-Agents/Experiments/AirDribble/AirDribbleAgent.cs
The project is called RoboLeague and is open source, available here. More videos are also on my Twitter.
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Doing a clone of Rocket League for AI experiments. Trained an agent to air dribble the ball.
The agent code is here - https://github.com/roboserg/RoboLeague/blob/master/Assets/ML-Agents/Experiments/AirDribble/AirDribbleAgent.cs
What are some alternatives?
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.
RLBot - A framework that allows people to write their own Rocket League bots.
bomberland - Bomberland: a multi-agent AI competition based on Bomberman. This repository contains both starter / hello world kits + the engine source code
TotalWarSimulator - Total War Battle simulator for AI research
ultimate-volleyball-starter - Tutorial kit for building a 3D deep reinforcement learning environment with Unity ML-Agents.
RL-GARAGE-PRE-BOT - RL-GARAGE-PRE-BOT # Auto Trade Bumper, Auto Reply, Item Alerts
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
SimpleGOAP - SimpleGOAP is a lightweight C# implementation of goal oriented action planning.
com.openai.unity - A Non-Official OpenAI Rest Client for Unity (UPM)