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#

multi-agent-learning

Here are 19 public repositories matching this topic...

Paper list of multi-agent reinforcement learning (MARL)

  • UpdatedNov 19, 2025
VectorizedMultiAgentSimulator

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

  • UpdatedNov 10, 2025
  • Python

Multi-Agent Reinforcement Learning (MARL) papers

  • UpdatedSep 19, 2022

A Collection of Multi-Agent Reinforcement Learning (MARL) Resources

  • UpdatedOct 4, 2022

Active visual tracking library based on PyTorch.

  • UpdatedMay 16, 2024
  • Python

A curated list of multiagent learning and related area resources.

  • UpdatedAug 15, 2019

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

  • UpdatedMar 30, 2021
  • Python

An AI benchmark for Pokémon VGC with agent implementations using multi-agent reinforcement learning, behavior cloning, LLMs, and heuristics

  • UpdatedNov 25, 2025
  • Python

Computing mixed-strategy Nash Equilibria for games involving multiple players

  • UpdatedJan 16, 2025
  • Julia

Multi agent reinforement learning. Chaser and runner.

  • UpdatedJan 14, 2020
  • Python

Multiplayer Game, Security, DF Service Implementation, Genetic Algorithm Implementation, Multi-Agent Systems Enhanced With Q-Learning Implementation For Improved Decision-Making.

  • UpdatedJun 9, 2023
  • Java

This repository contains an implementation of a deep learning architecture designed for unsupervised or self-supervised classification tasks. The architecture consists of two components: a classifier and an aligner.

  • UpdatedFeb 5, 2024
  • Jupyter Notebook

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