A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
☆379Apr 8, 2021Updated 5 years ago
Alternatives and similar repositories for Multi-Agent-Deep-Deterministic-Policy-Gradients
Users that are interested in Multi-Agent-Deep-Deterministic-Policy-Gradients are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆681Jul 16, 2022Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆691Nov 26, 2019Updated 6 years ago
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆737Oct 13, 2022Updated 3 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,977Apr 1, 2024Updated 2 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,767Apr 9, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆693Jun 5, 2018Updated 8 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆205Mar 6, 2024Updated 2 years ago
- The code for maddpg using pytorch☆168Oct 5, 2020Updated 5 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆807May 29, 2022Updated 4 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆539Jul 21, 2023Updated 2 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆21Mar 19, 2018Updated 8 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆35Oct 27, 2022Updated 3 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,744Sep 8, 2022Updated 3 years ago
- Multi-UAV target round-up based on MADDPG☆273May 22, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- This is the official implementation of Multi-Agent PPO (MAPPO).☆2,020Jul 18, 2024Updated last year
- Lightweight version of MAPPO to help you quickly migrate to your local environment.☆863May 12, 2026Updated 3 weeks ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆175Oct 24, 2023Updated 2 years ago
- 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
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆67Jan 2, 2023Updated 3 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆168Nov 1, 2023Updated 2 years ago
- Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"☆338Aug 22, 2025Updated 9 months ago
- Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach…☆710Nov 19, 2025Updated 6 months ago
- Python Multi-Agent Reinforcement Learning framework☆2,197Dec 8, 2022Updated 3 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.
- ☆167Dec 1, 2021Updated 4 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆617Nov 11, 2017Updated 8 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆749May 23, 2022Updated 4 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆22Dec 24, 2018Updated 7 years ago
- ☆25Feb 25, 2023Updated 3 years ago
- Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3…☆14Apr 26, 2022Updated 4 years ago
- ☆16May 4, 2021Updated 5 years ago
- Lightweight multi-agent PPO for IEEE field.☆15Mar 23, 2022Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆747Apr 12, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆229Apr 17, 2024Updated 2 years ago
- Communication-efficient MARL for CACC☆27Aug 7, 2023Updated 2 years ago
- ☆181Sep 14, 2020Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Jul 9, 2019Updated 6 years ago
- This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.☆714Jan 19, 2024Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆80Mar 25, 2022Updated 4 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆65Jul 17, 2021Updated 4 years ago