ma-gym
A collection of multi agent environments based on OpenAI gym. (by koulanurag)
mcts-general
General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments. (by PatrickKorus)
ma-gym | mcts-general | |
---|---|---|
2 | 1 | |
522 | 28 | |
- | - | |
6.1 | 0.0 | |
3 months ago | over 3 years ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
ma-gym
Posts with mentions or reviews of ma-gym.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-06.
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Tensorflow and OpenAI Gym for Multi-Agent Reinforcement Learning?
Of course I conducted research (or rather... searched on google :)) before making this post. I found a simple third party gym environment that implements multi-agent rl called 'ma-gym' (https://github.com/koulanurag/ma-gym) but I'm not quite sure how I would train two Agents and let them play inside one environment.
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How do you train Agent for something like Chess or Game of the Generals?
There are projects working on a multi agent version of gym. Maybe you find some inspiration there.
mcts-general
Posts with mentions or reviews of mcts-general.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-06.
-
How do you train Agent for something like Chess or Game of the Generals?
I also did an an Implementation of MCTS for gym, that also deals with the continuous environments and is a bit more object oriented
What are some alternatives?
When comparing ma-gym and mcts-general you can also consider the following projects:
Minigrid - Simple and easily configurable grid world environments for reinforcement learning
crafter - Benchmarking the Spectrum of Agent Capabilities
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
GoBigger - [ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.