open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. (by google-deepmind)
gym-battleship
Battleship environment for reinforcement learning tasks (by thomashirtz)
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| open_spiel | gym-battleship | |
|---|---|---|
| 44 | 2 | |
| 3,989 | 8 | |
| 1.2% | - | |
| 9.4 | 2.4 | |
| 4 days ago | 12 months ago | |
| C++ | Python | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
open_spiel
Posts with mentions or reviews of open_spiel.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-26.
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What projects or open-source contributions can impress Jane Street recruiters for a Quant SWE role ?
Deep mind actually has a repository where they applied this algorithm for incomplete-knowledge games. You could use it for reference: https://github.com/deepmind/open_spiel/tree/master/open_spiel/python/algorithms
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I want to build a learning agent for a combinatorial game
+1. You can also find an implementation of Clobber and AlphaZero (and many other basic RL algorithms) in OpenSpiel: https://github.com/deepmind/open_spiel
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minimax for imperfect-information turn-games?
You can find a lot of code online if you look, and many of these applied to Poker. There's a general implementation of both in Python and C++ in OpenSpiel, with some examples applied to small poker games. It's nice code to learn from because the algorithms operate over generic game descriptions, so there aren't game-specific design choices mixed up with the implementation of the algorithms, and you can create your own poker game and just run them on it.
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OpenSpiel 1.3 Released!
And many other additions and improvements. See all the details here: https://github.com/deepmind/open_spiel/releases/tag/v1.3
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What's a good OpenAI Gym Environment for applying centralized multi-agent learning using expected SARSA with tile coding?
I would checkout the openspiel package. It's main focus is RL in games (multi-agent environments). You'll find RL examples there and games that are small enough to solve without deep RL. There's also a wide range of environments from fully cooperative to adversarial zero-sum.
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Competitive reinforcement learning for turn-based games
Hi, you can check out OpenSpiel: https://github.com/deepmind/open_spiel/
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Reinforcement learning and Game Theory a turn-based game
as for algorithms , openspiel repository has few implementations some of these are not related to imperfect information games , and others are not for multiagent environment and others are tabular algorithms .
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Shimmy 1.0: Gymnasium & PettingZoo bindings for popular external RL environments
This includes single-agent Gymnasium wrappers for DM Control, DM Lab, Behavior Suite, Arcade Learning Environment, OpenAI Gym V21 & V26. Multi-agent PettingZoo wrappers support DM Control Soccer, OpenSpiel and Melting Pot. For more information, read the release notes here:
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How to deal with situations where the RL agent cannot act at every time step?
I've had some success using Action Masking - you can refer to here https://github.com/deepmind/open_spiel/blob/120420a74a69354d64c10b51cd129d4587f9f325/open_spiel/python/algorithms/dqn.py but for DQN you need to mask out q values for invalid actions (as well as masking them during prediction). In my case I'm able to place my mask in the observation so can fetch it quite easily during prediction but if that's not possible you could query it from the environment and store it in the replay buffer (like they do in the link I shared)
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How to search the game tree with depth-first search?
Take a look at this simple implementation: https://github.com/deepmind/open_spiel/blob/master/open_spiel/algorithms/minimax.cc
gym-battleship
Posts with mentions or reviews of gym-battleship.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-02.
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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?
When comparing open_spiel and gym-battleship you can also consider the following projects:
muzero-general - MuZero
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
PettingZoo - An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
gym - A toolkit for developing and comparing reinforcement learning algorithms.
rl-baselines-zoo - A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
TexasHoldemSolverJava - A Java implemented Texas holdem and short deck Solver
portfolio-management - Repository for portfolio management using Pytorch, SQLAlchemy and XArray. The management is done using the reinforcement learning algorithm "Soft Actor-Critic".
tensortrade - An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
open_spiel vs muzero-general
gym-battleship vs stable-baselines3
open_spiel vs PettingZoo
gym-battleship vs rex-gym
open_spiel vs gym
gym-battleship vs rl-baselines-zoo
open_spiel vs rlcard
gym-battleship vs stable-baselines
open_spiel vs TexasHoldemSolverJava
gym-battleship vs portfolio-management
open_spiel vs tensortrade
gym-battleship vs Super-mario-bros-PPO-pytorch