2 papers
cs.LG2023
Optimizing Three Critical Factors for Practical and Effective OOD Detection Fine-Tuning
Hyunjun Choi, JaeHo Chung, Hawook Jeong +1
In out-of-distribution (OOD) detection, fine-tuning with auxiliary outlier data often improves detection performance at the cost of classification accuracy. This trade-off stems fr…
cs.AI2023
Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding
Jaehoon Chung, Jamil Fayyad, Younes Al Younes +1
Multi-agent pathfinding (MAPF) is a critical field in many large-scale robotic applications, often being the fundamental step in multi-agent systems. The increasing complexity of M…