ultimate-volleyball
ultimate-volleyball-starter
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ultimate-volleyball | ultimate-volleyball-starter | |
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13 | 1 | |
84 | 8 | |
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0.0 | 0.0 | |
about 2 years ago | over 2 years ago | |
C# | C# | |
Apache License 2.0 | Apache License 2.0 |
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ultimate-volleyball
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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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🏐 Ultimate Volleyball: A 3D Volleyball environment built using Unity ML-Agents
Inspired by Slime Volleyball Gym, I built a 3D Volleyball environment using Unity's ML-Agents toolkit. The full project is open-source and available at: 🏐 Ultimate Volleyball.
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🏐 Training RL agents to play 3D Volleyball with Self-Play + PPO + Unity ML-Agents (learnings & link in comments)
I have lots of ideas for the project going forward (e.g. adding co-op teams, sets, fun mechanics) and am keen to run an open competition for others interested in experimenting with Unity ML-Agents together (I added a link to signup in the repo).
ultimate-volleyball-starter
We haven't tracked posts mentioning ultimate-volleyball-starter yet.
Tracking mentions began in Dec 2020.
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.
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
deep-learning-drizzle - Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
ZeroSimROSUnity - Robotic simulation in Unity with ROS integration.
RoboLeague - A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
SimpleGOAP - SimpleGOAP is a lightweight C# implementation of goal oriented action planning.
slimevolleygym - A simple OpenAI Gym environment for single and multi-agent reinforcement learning