M

multi-agent reinforcement learning

MSc degree thesis: multi-agent reinforcement learning for workload distribution in FaaS edge computing systems

Project for the 2024 Multi-agent Reinforcement Learning course, at the University of Groningen. Contains PPO-based CTDE and CTCE methods that work really well.

The code in this repository is used for the research on multi-agent reinforcement learning for power grids of Erica van der Sar. The results in the paper "Multi-Agent Reinforcement Learning for Power Grid Topology Optimization" (https://doi.org/10.48550/arXiv.2310.02605) are produced using this code base.

Multi Agent Hierarchical Actor Critic (docu: https://vg_tum.gitlab.io/mahac_rl)