battleship
gym-battleship
battleship | gym-battleship | |
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1 | 2 | |
9 | 9 | |
- | - | |
10.0 | 2.4 | |
almost 8 years ago | about 1 year ago | |
Ruby | Python | |
- | MIT License |
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battleship
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Battleship
I participated in a "ruby fight club" like this a few years ago hosted by grouper: https://github.com/Grouper/battleship
gym-battleship
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Battleship
There are a few gyms for battleship, https://github.com/thomashirtz/gym-battleship ... some variations I would like to see involve a much bigger grid (100x100) and moving ships along axis @ various rates ... but then you would get a different game I guess.
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Python OpenAI Gym environment for reinforcement learning
(shamless plug) If you want to check out a simple custom gym environment of a boardgame, I did a battleship env some time ago: https://github.com/thomashirtz/gym-battleship
What are some alternatives?
games - Program bots to compete head-to-head in games
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
ideas - :rocket: Ideas for everyone under a CC licence. Feel free to use. I'll send you a postcard if you build anything on this list.
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
rl-baselines-zoo - A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
portfolio-management - Repository for portfolio management using Pytorch, SQLAlchemy and XArray. The management is done using the reinforcement learning algorithm "Soft Actor-Critic".
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Fleet-AI - Using Reinforcement Learning to play Battleship