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Clique Analysis and Bypassing in Continuous-Time Conflict-Based Search
While the study of unit-cost Multi-Agent Pathfinding (MAPF) problems has been popular, many real-world problems require continuous time and costs due to various movement models.
Hierarchical Reinforcement Learning for Air-to-Air Combat
Artificial Intelligence (AI) is becoming a critical component in the defense industry, as recently demonstrated by DARPA`s AlphaDogfight Trials (ADT).
Hierarchical Reinforcement Learning
reinforcement-learning
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