ViZDoom
bomberland
ViZDoom | bomberland | |
---|---|---|
3 | 2 | |
1,669 | 99 | |
0.8% | - | |
8.9 | 3.1 | |
3 months ago | 3 months ago | |
C++ | C++ | |
- | MIT License |
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ViZDoom
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Reinforcement learning libraries with AlphaZero
AFAIK AlphaZero has not been used for continuous action space 3d environments like vizdoom, I wouldn't expect it to work well out of the box. There is a basic example demonstrating Q-learning on the environment: https://vizdoom.cs.put.edu.pl/tutorial#learning, as well as numerous example files of various training methods: https://github.com/Farama-Foundation/ViZDoom/tree/master/examples/python
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ViZDoom 1.2.0: Reinforcement Learning environments based on the 1993 game Doom
For more information about this release and ViZDoom, see https://github.com/Farama-Foundation/ViZDoom, and about Farama Foundation, see https://farama.org/, or join our Discord server: https://discord.gg/nhvKkYa6qX
- ViZDoom has joined the Farama Foundation
bomberland
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Show HN: Bomberland – An AI competition to build the best Bomberman bot
Thanks for the feedback! We're working on improving the onboarding flow. Sorry about the Docker link issue - it should link you to a copy of the environment binary so that you can play around without Docker (no docs for this workflow just yet unfortunately).
It's essentially a Bomberman-inspired game, where you program the agents to play in it and can play against other users' agents. You can try it out without an account by cloning one of the starter kits here: https://github.com/CoderOneHQ/bomberland and following the usage instructions (but you'll need to create an account to use the visualizer and to submit agents).
We recommend the Docker flow, but if you get stuck feel free to reach out to me (Joy) or @thegalah (Matt) on our Discord: https://discord.gg/NkfgvRN
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Bomberland: a new artificial intelligence competition
We have starter kits in Python and TypeScript to help you get started (and encourage any community contributions to the starter kit repo).
What are some alternatives?
envpool - C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
q-learning-algorithms - This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch.
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
control-flag - A system to flag anomalous source code expressions by learning typical expressions from training data
nodebuilder - An experimental DOOM Node Builder, written in C++
ultimate-volleyball - 3D RL Volleyball environment built on Unity ML-Agents