liuruoze / mini-AlphaStarLinks
(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.
☆334Updated 2 years ago
Alternatives and similar repositories for mini-AlphaStar
Users that are interested in mini-AlphaStar are comparing it to the libraries listed below
Sorting:
- This project is implementation code of AlphaStar☆200Updated last year
- ☆480Updated 2 years ago
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆257Updated 11 months ago
- ☆252Updated last year
- A collection of multi agent environments based on OpenAI gym.☆606Updated 11 months ago
- ☆144Updated 6 months ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,218Updated last year
- Pytorch Implementation of MuZero☆353Updated last year
- A parallel framework for population-based multi-agent reinforcement learning.☆532Updated last year
- 星际2 AI中文教程 StarCraft2 AI with python-sc2/pysc2 API☆233Updated 4 years ago
- ☆412Updated last year
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆488Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆603Updated 9 months ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆353Updated 2 years ago
- ☆209Updated 2 years ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆609Updated last week
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,598Updated 2 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆193Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆182Updated 9 months ago
- Code for conservative Q-learning☆446Updated 3 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆448Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆712Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆178Updated 11 months ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆161Updated 2 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆474Updated last year
- PyTorch implementation of SAC-Discrete.☆305Updated 11 months ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆295Updated 4 months ago
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning☆311Updated 11 months ago
- Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.☆902Updated last year