Bigpig4396 / Multi-Agent-Reinforcement-Learning-EnvironmentLinks
Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
☆719Updated 3 years ago
Alternatives and similar repositories for Multi-Agent-Reinforcement-Learning-Environment
Users that are interested in Multi-Agent-Reinforcement-Learning-Environment are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆643Updated 5 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆759Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆709Updated 2 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆639Updated 3 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆665Updated 7 years ago
- A collection of multi agent environments based on OpenAI gym.☆606Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆616Updated 10 months ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,612Updated 2 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆491Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,230Updated last year
- multi-agent deep reinforcement learning for networked system control.☆421Updated 4 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆595Updated 7 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆348Updated 5 years ago
- Mean Field Multi-Agent Reinforcement Learning☆397Updated 5 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆351Updated 4 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆449Updated 3 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆381Updated 2 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆312Updated 2 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,063Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆345Updated 5 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆305Updated 5 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆267Updated 2 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,643Updated last year
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆415Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆307Updated last year
- PyTorch implementation of soft actor critic☆897Updated 2 weeks ago
- A parallel framework for population-based multi-agent reinforcement learning.☆533Updated last year
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆760Updated last year
- Implementation of benchmark RL algorithms☆467Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆219Updated 6 years ago