mlii / mfrl
Mean Field Multi-Agent Reinforcement Learning
☆392Updated 5 years ago
Alternatives and similar repositories for mfrl:
Users that are interested in mfrl are comparing it to the libraries listed below
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆689Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆650Updated 6 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆619Updated 5 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆731Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆568Updated 7 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆699Updated 2 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆353Updated 6 years ago
- A collection of multi agent environments based on OpenAI gym.☆598Updated 9 months ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆310Updated 3 years ago
- multi-agent deep reinforcement learning for networked system control.☆403Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆298Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆301Updated 8 months ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆466Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆589Updated 6 months ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆335Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆332Updated 5 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆191Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆206Updated 5 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆605Updated 2 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆523Updated last year
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆218Updated last year
- DGN Code☆345Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆357Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆625Updated 4 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆211Updated 2 years ago
- The code for maddpg using pytorch☆168Updated 4 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆745Updated last year
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆308Updated 2 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆207Updated 5 years ago