mini-AlphaStar VS minimalRL

Compare mini-AlphaStar vs minimalRL and see what are their differences.

mini-AlphaStar

(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. (by liuruoze)
mini-alphastar supervised-learning reinforcement-learning starcraft2 Deep Learning Pytorch self-playing-bot multi-agent-systems Gaming imitation-learning starcraft2-ai starcraft-ii-bot sc2replay deep-reinforcement-learning deep-neural-networks
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minimalRL

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based) (by seungeunrho)
deep-reinforcement-learning Pytorch Simple Deep Learning a3c Ppo A2c reinforce acer Dqn Ddpg policy-gradients reinforcement-learning Machine Learning sac
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mini-AlphaStar minimalRL
1 5
278 2,725
- -
0.0 1.6
over 1 year ago about 1 year ago
Python 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.
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mini-AlphaStar

Posts with mentions or reviews of mini-AlphaStar. We have used some of these posts to build our list of alternatives and similar projects.
  • Better AI opponent
    1 project | /r/starcraft2 | 16 Aug 2021
    With quick googling I found this, but it seemed like there were no pretrained models and without a tech background this will be pretty much impossible to run.

minimalRL

Posts with mentions or reviews of minimalRL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-18.

What are some alternatives?

When comparing mini-AlphaStar and minimalRL you can also consider the following projects:

multi_agent_path_planning - Python implementation of a bunch of multi-robot path-planning algorithms.

ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥

DI-drive - Decision Intelligence Platform for Autonomous Driving simulation.

Pytorch-PCGrad - Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

sharpy-sc2 - Python framework for rapid development of Starcraft 2 AI bots

rlpyt - Reinforcement Learning in PyTorch

robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

pomdp-baselines - Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

deep-RL-trading - playing idealized trading games with deep reinforcement learning

ultimate-volleyball - 3D RL Volleyball environment built on Unity ML-Agents

mini-AlphaStar vs multi_agent_path_planning minimalRL vs ElegantRL mini-AlphaStar vs DI-drive minimalRL vs Pytorch-PCGrad mini-AlphaStar vs pytorch-a2c-ppo-acktr-gail minimalRL vs DeepRL-TensorFlow2 mini-AlphaStar vs sharpy-sc2 minimalRL vs rlpyt mini-AlphaStar vs robo-vln minimalRL vs pomdp-baselines minimalRL vs deep-RL-trading minimalRL vs ultimate-volleyball