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cs.AI2024
Simulation-Based Optimistic Policy Iteration For Multi-Agent MDPs with Kullback-Leibler Control Cost
Khaled Nakhleh, Ceyhun Eksin, Sabit Ekin
This paper proposes an agent-based optimistic policy iteration (OPI) scheme for learning stationary optimal stochastic policies in multi-agent Markov Decision Processes (MDPs), in…
eess.SY2024
Almost Sure Convergence of Networked Policy Gradient over Time-Varying Networks in Markov Potential Games
Sarper Aydin, Ceyhun Eksin
We propose networked policy gradient play for solving Markov potential games with continuous and/or discrete state-action pairs. During the game, agents use parametrized and differ…