multi_agent_path_planning VS mini-AlphaStar

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

multi_agent_path_planning

Python implementation of a bunch of multi-robot path-planning algorithms. (by atb033)
velocity-obstacles multi-agent-path-finding multi-agent-systems path-planning multi-robot
Source Code
atb033.github.io
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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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multi_agent_path_planning mini-AlphaStar
1 1
961 278
- -
0.0 0.0
about 1 year ago over 1 year ago
Python Python
MIT License Apache License 2.0
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multi_agent_path_planning

Posts with mentions or reviews of multi_agent_path_planning. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

PathPlanning - Common used path planning algorithms with animations.

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

Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

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).

agents-aea - A framework for autonomous economic agent (AEA) development

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

camel - 🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org

minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

PythonRobotics - Python sample codes for robotics algorithms.

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

camel - 🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society [Moved to: https://github.com/camel-ai/camel]

multi_agent_path_planning vs PathPlanning mini-AlphaStar vs DI-drive multi_agent_path_planning vs Mava mini-AlphaStar vs pytorch-a2c-ppo-acktr-gail multi_agent_path_planning vs agents-aea mini-AlphaStar vs sharpy-sc2 multi_agent_path_planning vs camel mini-AlphaStar vs minimalRL multi_agent_path_planning vs PythonRobotics mini-AlphaStar vs robo-vln multi_agent_path_planning vs camel