Batuhan Yardim

12 papers A* 2A 2Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Variational Inequality Approach to Independent Learning in Static Mean-Field Games. CoRR Batuhan Yardim, Semih Cayci, Niao He
2025	—	`conf`	Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning. L4DC Batuhan Yardim, Niao He
2025	J	`jnl`	Scalable Neural Incentive Design with Parameterized Mean-Field Approximation. CoRR Nathan Corecco, Batuhan Yardim, Vinzenz Thoma, Zebang Shen, Niao He
2024	J	`jnl`	Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning. CoRR Batuhan Yardim, Niao He
2024	A	`conf`	On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation. AISTATS Jiawei Huang, Batuhan Yardim, Niao He
2024	A	`conf`	When is Mean-Field Reinforcement Learning Tractable and Relevant? AAMAS Batuhan Yardim, Artur Goldman, Niao He
2024	J	`jnl`	When is Mean-Field Reinforcement Learning Tractable and Relevant? CoRR Batuhan Yardim, Artur Goldman, Niao He
2023	J	`jnl`	On the Statistical Efficiency of Mean Field Reinforcement Learning with General Function Approximation. CoRR Jiawei Huang, Batuhan Yardim, Niao He
2023	A*	`conf`	Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games. ICML Batuhan Yardim, Semih Cayci, Matthieu Geist, Niao He
2022	J	`jnl`	Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games. CoRR Batuhan Yardim, Semih Cayci, Matthieu Geist, Niao He
2022	A*	`conf`	Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions. NeurIPS Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim, Florian Dörfler, Giorgia Ramponi
2022	J	`jnl`	Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions. CoRR Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim, Florian Dörfler, Giorgia Ramponi