PPaperPicks

Sven Koenig

University of Southern California, Los Angeles, USA

19 papers at tracked venues · 10 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Deeper Treatment of the Bi-objective Search Framework
  2. Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
  3. Fortieth AAAI Conference on Artificial Intelligence, Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence, Sixteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2026, Singapore, January 20-27, 2026
    AAAI 2026 · Sven Koenig
  4. Multi-Objective Search: Algorithms, Applications, and Emerging Directions
  5. Spatially Grouped Curriculum Learning for Multi-Agent Path Finding
  6. Truncated Counterfactual Learning for Anytime Multi-Agent Path Finding
  7. Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower Bounds
  8. An Anytime, Scalable and Complete Algorithm for Embedding a Manufacturing Procedure in a Smart Factory
  9. Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic
  10. Counterfactual Online Learning for Open-Loop Monte-Carlo Planning
  11. Empirical Hardness in Multi-Agent Pathfinding: Research Challenges and Opportunities
  12. Jointly Assigning Processes to Machines and Generating Plans for Autonomous Mobile Robots in a Smart Factory
  13. RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks
  14. Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
  15. Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search
  16. Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search
  17. Benchmarking Multi-Robot Coordination in Realistic, Unstructured Human-Shared Environments
  18. Confidence-Based Curriculum Learning for Multi-Agent Path Finding
  19. Theoretical Study on Multi-objective Heuristic Search