Patents

Innovations in AI Planning and Optimization

Granted Patents

7 patents granted

  • Estimating and visualizing collaboration to facilitate automated plan generation US 11620486
  • Methods and systems for diverse instance generation in artificial intelligence planning US 11526791
  • Guided plan recognition US 11755923
  • Iterative generation of top quality plans in automated plan generation US 11727289
  • Optimizing spatiotemporal computational problems US 10635982
  • Automatic solution to a scheduling problem US 10430739
  • Reusable modeling for solving problems US 10169291

Published Patent Applications

19 applications published

  • Partial Order Reduction to Increase Planner Speed US 20240420020
  • Symmetry Pruning to Increase Planner Speed US 20240420038
  • Reinforcement Learning Using Lifted Action Models US 20240370750
  • Identification of Actions in Artificial Intelligence Planning US 20240330301
  • Generating Artificial Intelligence Plans of High Diversity US 20230394325
  • Action Space Reduction for Planning Domains US 20230342653
  • Creating Satisficing Planners with Deep Learning US 20230206027
  • Method and System for Automating Scenario Planning US 20220300852
  • Machine Learning Pipeline Generation US 20220188691
  • Methods and Systems for Improving Heuristic Searches for Artificial Intelligence Planning US 20210216879
  • Providing Useful Sets of Top-K Quality Plans US 20210004741
  • Intelligent Causal Knowledge Extraction from Data Sources US 20200401910
  • Artificial Intelligence Automated Planning Based on Biomedical Parameters US 20200104782
  • Artificial Intelligence Planning Instantiation Using Natural Language Processing US 20200104769
  • Generating Diverse Plans US 20200074315
  • Time Window Selection for Vehicle Routing Problem US 20180129985
  • Real-time Update of a Mobile Workforce Schedule US 20180101809
  • Decomposition of Multisite Heterogeneous Workforce Scheduling Problems US 20170364856
  • Method for Assigning Time Windows for Vehicle Routing Problem US 20170352009