Giorgia Ramponi

Provably Learning Nash Policies in Constrained Markov Potential Games

2023 · arXiv (Cornell University)

Multi-agent reinforcement learning (MARL) addresses sequential decision-making problems with multiple agents, where each agent optimizes its own objective. In many real-world instances, the agents may not only want to optimize their objectives, but also ensure …