Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL
☆170Mar 28, 2026Updated 4 months ago
Alternatives and similar repositories for FreeRL
Users that are interested in FreeRL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆741Oct 13, 2022Updated 3 years ago
- 用于教学的RL算法仓库，里面放置各种算法的最简单实现，目的是快速理解某个算法☆66May 26, 2025Updated last year
- A modern implementation of MADDPG and MADDPG-Approx algorithms using PyTorch and PettingZoo environments. This project provides a clean, …☆21Mar 16, 2025Updated last year
- PyTorch implementations of MADDPG, MAPPO (coming)☆207Mar 6, 2024Updated 2 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆170Nov 1, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆80Mar 25, 2022Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆174Oct 24, 2023Updated 2 years ago
- MAPPO-PIS：MAPPO with Prior Intent Sharing☆15Aug 7, 2024Updated 2 years ago
- Lightweight version of MAPPO to help you quickly migrate to your local environment.☆875May 12, 2026Updated 3 months ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆2,075Jul 18, 2024Updated 2 years ago
- Projects from basic algorithms to MARL. Implements MADDPG,MATD3,MA/HAPPO in Predator-Prey pursuit games with PettingZoo MPE environments.☆434Updated this week
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆680Jul 16, 2022Updated 4 years ago
- Official implementation of HARL algorithms based on PyTorch.☆942Apr 27, 2025Updated last year
- UAVs path planning algorithm based on multi-agent deep reinforcement learning algorithm MASAC☆27Aug 3, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆15Aug 30, 2021Updated 4 years ago
- XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library☆1,078Updated this week
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆543Jul 21, 2023Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆234Apr 17, 2024Updated 2 years ago
- The implement of the policy gradient RL algorithm with pytorch☆41Dec 7, 2020Updated 5 years ago
- Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat☆166Jun 23, 2026Updated last month
- code for☆11Apr 10, 2021Updated 5 years ago
- Pytorch implementations of the multi-agent reinforcement learning algorithms, including QMIX, VDN, COMA, MADDPG, MATD3, FACMAC and MASoft…☆56Mar 10, 2025Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆96Nov 30, 2020Updated 5 years 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.
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆55May 17, 2023Updated 3 years ago
- Multi-UAV Assisted Wireless Powered Mobile Edge Computing: A hybrid optimization approach of combining multi-agent RL techniques (includi…☆103May 19, 2026Updated 2 months ago
- (Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) (ICLR…☆57May 23, 2024Updated 2 years ago
- Multi-UAV target round-up based on MADDPG☆275May 22, 2025Updated last year
- path coverage algorithm for drones using reinforcement learning☆13Aug 13, 2020Updated 6 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,756Sep 8, 2022Updated 3 years ago
- Pytorch implementation of PPO-Lagrangian, compared against PPO in a continous action Cart Pole environment.☆19Mar 25, 2026Updated 4 months ago
- Multi/Single UAV(unmanned aerial vehicle) path planning based on deep reinforcement learning☆742Aug 27, 2025Updated 11 months ago
- The simulation environment for multi-robot tasks, e.g. cooperative navigation, cooperative coverage, or cooperative pursuit and evasion.☆18Nov 17, 2023Updated 2 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.
- This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Co…☆16Jun 29, 2024Updated 2 years ago
- RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning☆10Jul 10, 2023Updated 3 years ago
- This is the official code for our paper entitled "Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning".☆10Jul 26, 2026Updated 2 weeks ago
- Collision Avoidance simulator for USV using Deep RL. A result of TTK4550 Fordypningsoppgave at NTNU☆21Mar 21, 2024Updated 2 years ago
- Multi-agent RL algorithms are applied to large-scale cooperative target searching mission☆41Feb 23, 2023Updated 3 years ago
- ☆17Oct 25, 2023Updated 2 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆12Jul 29, 2023Updated 3 years ago