# Additional Readings [[additional-readings]]

##  An introduction to multi-agents

- [Multi-agent reinforcement learning: An overview](https://www.dcsc.tudelft.nl/~bdeschutter/pub/rep/10_003.pdf)
- [Multiagent Reinforcement Learning, Marc Lanctot](https://rlss.inria.fr/files/2019/07/RLSS_Multiagent.pdf)
- [Example of a multi-agent environment](https://www.mathworks.com/help/reinforcement-learning/ug/train-3-agents-for-area-coverage.html?s_eid=PSM_15028)
- [A list of different multi-agent environments](https://agents.inf.ed.ac.uk/blog/multiagent-learning-environments/)
- [Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents](https://bit.ly/3nVK7My)
- [Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning](https://bit.ly/3v7LxaT)

## Self-Play and MA-POCA

- [Self Play Theory and with MLAgents](https://blog.unity.com/technology/training-intelligent-adversaries-using-self-play-with-ml-agents)
- [Training complex behavior with MLAgents](https://blog.unity.com/technology/ml-agents-v20-release-now-supports-training-complex-cooperative-behaviors)
- [MLAgents plays dodgeball](https://blog.unity.com/technology/ml-agents-plays-dodgeball)
- [On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning (MA-POCA)](https://arxiv.org/pdf/2111.05992.pdf)

