QMIX implemented in TensorFlow 2
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Updated
Jun 12, 2021 - Python
QMIX implemented in TensorFlow 2
Continual Multi-agent Reinforcement Learning in Dynamic Environments
StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX
PPO and PyMARL baseline for Pogema environment
Source code for the MARL-enabled real-time control of urban drainage system
PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
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