Yardim, Batuhan

1. Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
   2022/12/29 by Batuhan Yardim, Yardim, Batuhan, Semih Çaycı +5 · 2 citations
   Decision Sciences · Computer Science · Physics and Astronomy · #Advanced Bandit Algorithms Research #Stochastic Gradient Optimization Techniques #Quantum many-body systems
2. Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
   2022/10/20 by Terpin, Antonio, Lanzetti, Nicolas, Yardim, Batuhan +2 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering
3. On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation
   2023/05/18 by Huang, Jiawei, Yardim, Batuhan, He, Niao · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. When is Mean-Field Reinforcement Learning Tractable and Relevant?
   2024/02/08 by Batuhan Yardim, Yardim, Batuhan, Artur Goldman +3 · 1 citation
   Computer Science · #Computer Science and Game Theory (cs.GT) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #FOS: Mathematics #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics