Can Deha Kariksiz

According to our database, Can Deha Kariksiz authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Kernel Based Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games.

Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi

CoRR, July, 2025

Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL.

Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi

J. Mach. Learn. Res., 2025

2024

Maximum Causal Entropy Inverse Reinforcement Learning for Mean-Field Games.

Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi

CoRR, 2024

2023

Q-Learning in Regularized Mean-field Games.

Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi

Dyn. Games Appl., March, 2023

Learning Mean-Field Games with Discounted and Average Costs.

Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi

J. Mach. Learn. Res., 2023

2021

Learning in Discrete-time Average-cost Mean-field Games.

Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Value iteration algorithm for mean-field games.

Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi

Syst. Control. Lett., 2020

2019

Fitted Q-Learning in Mean-field Games.

Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi

CoRR, 2019