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cs.LG2025
SAINT: Attention-Based Policies for Discrete Combinatorial Action Spaces
Matthew Landers, Taylor W. Killian, Thomas Hartvigsen +1
The combinatorial structure of many real-world action spaces leads to exponential growth in the number of possible actions, limiting the effectiveness of conventional reinforcement…
cs.MA2025
Factorized Deep Q-Network for Cooperative Multi-Agent Reinforcement Learning in Victim Tagging
Maria Ana Cardei, Afsaneh Doryab
Mass casualty incidents (MCIs) are a growing concern, characterized by complexity and uncertainty that demand adaptive decision-making strategies. The victim tagging step in the em…