Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions. - Antonio Terpin; Nicolas Lanzetti; Batuhan Yardim; Florian Dörfler; Giorgia Ramponi (NeurIPS, 2022)

Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games. - Batuhan Yardim; Semih Cayci; Matthieu Geist; Niao He (ICML, 2023)

On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation. - Jiawei Huang; Batuhan Yardim; Niao He (AISTATS, 2024)

When is Mean-Field Reinforcement Learning Tractable and Relevant? - Batuhan Yardim; Artur Goldman; Niao He (AAMAS, 2024)

Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning. - Batuhan Yardim; Niao He (L4DC, 2025)

A Variational Inequality Approach to Independent Learning in Static Mean-Field Games. - Batuhan Yardim; Semih Cayci; Niao He (CoRR, 2025)