|29 days ago||about 2 months ago|
|MIT License||Apache License 2.0|
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How do you train Agent for something like Chess or Game of the Generals?
2 projects | /r/reinforcementlearning | 6 May 2021
There are projects working on a multi agent version of gym. Maybe you find some inspiration there.
What are some alternatives?
mcts-general - General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.
Minigrid - Simple and easily configurable grid world environments for reinforcement learning
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
ITAQA-air-quality-aggregator - Framework to collect, aggregate and process air pollution data from different sources (Italy regions)
FoliClientInstaller - Installs the Foli Client Minecraft modpack
dreamerv2 - Mastering Atari with Discrete World Models
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
GoBigger - [ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.
dreamerv3 - Mastering Diverse Domains through World Models
ecobalyse - Accélerer la mise en place de l'affichage environnemental
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.