The PyMarl code is derived from PyMarl original implementation.
All the information to run PyMarl algorithms can be found in the PYMARL guide.
- QMIX: QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
- QVMIX: QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning
- QPLEX: QPLEX: Duplex Dueling Multi-Agent Q-Learning
- COMA: Counterfactual Multi-Agent Policy Gradients
- FACMAC: Factored Multi-Agent Centralised Policy Gradients
- VDN: Value-Decomposition Networks For Cooperative Multi-Agent Learning
- IQL: Independent Q-Learning