2 papers
cs.AI2023
Learning Density-Based Correlated Equilibria for Markov Games
Libo Zhang, Yang Chen, Toru Takisaka +3
Correlated Equilibrium (CE) is a well-established solution concept that captures coordination among agents and enjoys good algorithmic properties. In real-world multi-agent systems…
cs.LG2022
Dynamic Shielding for Reinforcement Learning in Black-Box Environments
Masaki Waga, Ezequiel Castellano, Sasinee Pruekprasert +3
It is challenging to use reinforcement learning (RL) in cyber-physical systems due to the lack of safety guarantees during learning. Although there have been various proposals to r…