Contribute to 15534081591/QMIX development by creating an account on GitHub.

2010年2月4日 · PyMARL is WhiRL 's framework for deep multi-agent reinforcement learning and includes implementations of the following algorithms: 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 …

Code for Weighted QMIX. Contribute to oxwhirl/wqmix development by creating an account on GitHub.

Afterwards, we re-evaluate numerous QMIX variants with normalized the tricks (a general set of hyperparameters), and find that QMIX achieves the SOTA.

2025年3月14日 · GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.

And each sample contains the whole episode instead of a single step. 'hidden_in' and 'hidden_out' are only the initial hidden state for each episode, for GRU initialization. """ def __init__ (self, capacity): self.capacity = capacity self.buffer = [] self.position = 0 def push (self, hidden_in, hidden_out, state, action, last_action, reward ...

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

UAV offloading based on QMIX. Contribute to a1193095382/UAV-offloading-with-QMIX development by creating an account on GitHub.

MARLToolkit is a Multi-Agent Reinforcement Learning Toolkit based on Pytorch. It provides MARL research community a unified platform for developing and evaluating the new ideas in various multi-agent environments. There are four core features of MARLToolkit. it collects most of the existing MARL algorithms widely acknowledged by the community and unifies them under one …

English | 简体中文 This project is mainly the pytorch implementation of some MARL algorithms, currently including: VDN, QMIX, QTRAN, Qatten, Weighted QMIX (CW-QMIX, OW-QMIX), QPLEX. Based on some existing implementation (Pymarl, StarCraft, QPLEX), the project simplifies the module and algorithm flow, improves visualization, and facilitates the …