1 citations · 3 across the 3 of their papers we have counts for
3 papers · 1 filter
Self-directed Learning of Action Models using Exploratory Planning
Dustin Dannenhauer, Matthew Molineaux, Michael W. Floyd +2
Complex, real-world domains may not be fully modeled for an agent, especially if the agent has never operated in the domain before. The agent's ability to effectively plan and act…
Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence
Dustin Dannenhauer, Michael W. Floyd, Jonathan Decker +1
Dungeon Crawl Stone Soup is a popular, single-player, free and open-source rogue-like video game with a sufficiently complex decision space that makes it an ideal testbed for resea…
Cost-Optimal Algorithms for Planning with Procedural Control Knowledge
Vikas Shivashankar, Ron Alford, Mark Roberts +1
There is an impressive body of work on developing heuristics and other reasoning algorithms to guide search in optimal and anytime planning algorithms for classical planning. Howev…