Asymptotic Convergence and Performance of Multi-Agent Q-learning Dynamics. - Aamal Abbas Hussain; Francesco Belardinelli; Georgios Piliouras (AAMAS, 2023)

The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics. - Aamal Abbas Hussain; Francesco Belardinelli; Dario Paccagnan (ICML, 2023)

Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics. - Aamal Abbas Hussain; Francesco Belardinelli; Georgios Piliouras (IJCAI, 2023)

Stability of Multi-Agent Learning: Convergence in Network Games with Many Players. - Aamal Abbas Hussain; Dan Leonte; Francesco Belardinelli; Georgios Piliouras (CoRR, 2023)

Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos. - Aamal Abbas Hussain; Francesco Belardinelli (AAAI, 2024)

On the Stability of Learning in Network Games with Many Players. - Aamal Abbas Hussain; Dan Leonte; Francesco Belardinelli; Georgios Piliouras (AAMAS, 2024)

Multi-Agent Q-Learning Dynamics in Random Networks: Convergence due to Exploration and Sparsity. - Aamal Abbas Hussain; Dan Leonte; Francesco Belardinelli; Raphaël Huser; Dario Paccagnan (CoRR, 2025)