There has been substantial growth in the field of Multi-Agent Reinforcement Learning (MARL) in recent years. MARL covers a wide variety of problem fields which are constantly in a state of flux.
This is a collection of review papers for MARL and evaluation methods for RL in general. We sort papers by publication date and survey subtopic. Any additions to this repo are welcome. Although our current focus is more on evaluation, this repository aims to include all relevant subtopics related to MARL.
- Survey Papers
- Older Surveys
- These surveys contain papers up to the year 2012. Typically they are publications that predate the mass adoption of the deep learning paradigm...
- Deep learning Surveys
- These surveys were done after the mass adoption of deep learning in reinforcement learning and begin in 2014...
- Older Surveys
- Research Papers (WIP)
- Older papers
- These papers are before the year 2015. Typically they are publications that predate the mass adoption of the deep learning...
- Deep learning papers
- These papers were published after the mass adoption of deep learning in multi-agent settings starting in 2015...
- Older papers