mlii / mfrlLinks
Mean Field Multi-Agent Reinforcement Learning
☆395Updated 5 years ago
Alternatives and similar repositories for mfrl
Users that are interested in mfrl are comparing it to the libraries listed below
Sorting:
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆743Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆700Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆663Updated 6 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆630Updated 5 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆579Updated 7 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆709Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆311Updated 2 years ago
- multi-agent deep reinforcement learning for networked system control.☆413Updated 4 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆353Updated 6 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆316Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆302Updated 10 months ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆482Updated last year
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆341Updated 5 years ago
- DGN Code☆352Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆600Updated 8 months ago
- A collection of multi agent environments based on OpenAI gym.☆601Updated 10 months ago
- Constrained Policy Optimization☆321Updated 7 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆531Updated last year
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆192Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆631Updated 4 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆209Updated 6 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆217Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆494Updated 2 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆208Updated 5 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆342Updated 5 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- The code for maddpg using pytorch☆168Updated 4 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆627Updated 2 years ago