2 papers
cs.LG2025
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
Andreas Kontogiannis, Konstantinos Papathanasiou, Yi Shen +3
Learning to cooperate in distributed partially observable environments with no communication abilities poses significant challenges for multi-agent deep reinforcement learning (MAR…
cs.LG2025
Primal-Dual Sample Complexity Bounds for Constrained Markov Decision Processes with Multiple Constraints
Max Buckley, Konstantinos Papathanasiou, Andreas Spanopoulos
This paper addresses the challenge of solving Constrained Markov Decision Processes (CMDPs) with constraints when the transition dynamics are unknown, but samples can be dr…