Multi-Player Bandits: The Adversarial Case. - Pragnya Alatur; Kfir Y. Levy; Andreas Krause 001 (J. Mach. Learn. Res., 2020)

Cancellation-Free Regret Bounds for Lagrangian Approaches in Constrained Markov Decision Processes. - Adrian Müller 002; Pragnya Alatur; Giorgia Ramponi; Niao He (CoRR, 2023)

Provably Learning Nash Policies in Constrained Markov Potential Games. - Pragnya Alatur; Giorgia Ramponi; Niao He; Andreas Krause 001 (AAMAS, 2024)

Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of Players. - Pragnya Alatur; Anas Barakat; Niao He (CDC, 2024)

Truly No-Regret Learning in Constrained MDPs. - Adrian Müller 002; Pragnya Alatur; Volkan Cevher; Giorgia Ramponi; Niao He (ICML, 2024)