Codes of GoMARL accompanying the paper "Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning"(NeurIPS 2023). GoMARL is a domain-agnostic MARL method that learns automatic grouping for efficient cooperation by promoting intra- and inter-group coordination.
☆34Aug 14, 2024Updated 2 years ago
Alternatives and similar repositories for GoMARL
Users that are interested in GoMARL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Public implementation of Heterogeneous Policy Networks (HetNet) from AAMAS'22 -- Paper Title: Learning Efficient Diverse Communication fo…☆21Jun 14, 2026Updated 2 months ago
- [ICLR 2024] Official Implementation of ACORM☆67Mar 26, 2024Updated 2 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆19Aug 20, 2023Updated 2 years ago
- A repository to reproduce the experiments of the MA-POCA paper☆23Oct 17, 2024Updated last year
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆23Apr 16, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆89Dec 8, 2022Updated 3 years ago
- ☆15Jun 2, 2024Updated 2 years ago
- Codes for the paper "Consensus Learning for Cooperative Multi-Agent Reinforcement Learning"☆18Aug 15, 2022Updated 4 years ago
- Reinforcement Learning from Hierarchical Critics☆14Jul 30, 2020Updated 6 years ago
- curriculum☆27Feb 7, 2023Updated 3 years ago
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆10Oct 26, 2021Updated 4 years ago
- (NeurIPS 2025) COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space☆18Dec 12, 2025Updated 8 months ago
- [ICML' 24] The PyTorch implementation of our paper: "Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforc…☆25May 29, 2024Updated 2 years ago
- ☆15Oct 9, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Codes for the paper "HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism"☆27Oct 22, 2022Updated 3 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆45Dec 31, 2021Updated 4 years ago
- Code for ICML2023 accepted paper: Complementary Attention for Multi-Agent Reinforcement Learning.☆19May 17, 2023Updated 3 years ago
- Predicting for Customers, whether they will buy car insurance or not.☆11Jan 29, 2021Updated 5 years ago
- [ICML'23] Official PyTorch Implementation of NA2Q, and a comprehensive benchmark based on pymarl☆24Jan 14, 2024Updated 2 years ago
- Scalable Multi-Agent Reinforcement Learning☆15Dec 25, 2021Updated 4 years ago
- [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition☆39Jun 3, 2024Updated 2 years ago
- [NeurIPS' 24] The PyTorch implementation of our paper: "Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learnin…☆22Oct 10, 2024Updated last year
- R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning☆19Nov 19, 2025Updated 8 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆33Sep 25, 2022Updated 3 years ago
- A Unified Benchmark Environment for Autonomous Flying Robots☆14Jul 12, 2024Updated 2 years ago
- (Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) (ICLR…☆57May 23, 2024Updated 2 years ago
- UAV Flocking with Multi-Agent Reinforcement Learning. The Code of the paper: "An invulnerable leader–follower collision-free unmanned aer…☆49Dec 10, 2025Updated 8 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆730Sep 24, 2024Updated last year
- code for ROMANCE☆14Oct 12, 2024Updated last year
- 🔥 [ICLR 2026] Official implementation of Recurrent Action Transformer with Memory, an offline RL agent with memory mechanisms. https://s…☆27Nov 23, 2025Updated 8 months ago
- The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .☆76Nov 4, 2024Updated last year
- Submission for MAVEN: Multi-Agent Variational Exploration☆59Apr 6, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…☆64Apr 13, 2024Updated 2 years ago
- [NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"☆65Mar 8, 2024Updated 2 years ago
- Open code of my published paper: Ecological Driving Framework of Hybrid Electric Vehicle Based on Heterogeneous Multi-Agent Deep Reinforc…☆35May 6, 2025Updated last year
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆173Jan 7, 2024Updated 2 years ago
- The code for paper 'STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning'☆17Oct 6, 2024Updated last year
- This project implements the Titans architecture from the paper "Titans: Learning to Memorize at Test Time" for market data prediction.☆10Jan 19, 2025Updated last year
- This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor N…☆51Nov 27, 2020Updated 5 years ago