qmix ├── README_CN. md # 说明文档 ├── ascend_310_infer │ ├── inc │ │ ├── utils. h │ ├── src │ │ ├── utils. cc │ │ ├── main. cc # Ascend 310 cpp模型文件 │ ├── build. sh # 编译脚本 │ ├── CMakeLists. txt # C++过程文件 ├── scripts │ ├── run ...

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

QMIX: QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning; COMA: Counterfactual Multi-Agent Policy Gradients; VDN: Value-Decomposition Networks For Cooperative Multi-Agent Learning; IQL: Independent Q-Learning; QTRAN: QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement ...

In order to calculate the quasiparticle tunneling currents, QMix uses multi-tone spectral domain analysis (see references). Among other applications, this makes QMix ideal for simulating power saturation, higher-order harmonics, sub-harmonic pumping, harmonic mixing and frequency multiplication. Website: https://garrettj403.github.io/QMix/

Qmix模型在星际争霸2（StarCraft Ⅱ）的环境下进行强化学习训练。 一个智能体控制一个单位，智能体的行为空间为移动、攻击、停止和无操作，奖励由总伤害加上击杀10分加上团灭200分组成。

@inproceedings{rashid2020weighted, title={Weighted QMIX: Expanding Monotonic Value Function Factorisation}, author={Rashid, Tabish and Farquhar, Gregory and Peng, Bei and Whiteson, Shimon}, booktitle={Advances in Neural Information Processing Systems}, year={2020} }

Qmix pump and valve interface. Contribute to psyfood/pyqmix development by creating an account on GitHub.

2022.10.10 update: add qmix_high_sample_efficiency.yaml, which uses 4 processes for training, slower but higher sample efficiency. 2021.10.28 update: add Google Football Environments [vdn_gfootball.yaml] (use `simple115 features`). 2021.10.4 update: add QMIX with attention (qmix_att.yaml) as a baseline for Communication tasks.

2025年1月31日 · PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG.

StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX - jk96491/SMAC