Planning by analogical reasoning is a learning method that consists of the storage, retrieval, and replay of planning episodes. Planning performance improves with the accumulationa...
Planning for partially observable, nondeterministic domains is a very signi cant and computationally hard problem. Often, reasonable assumptions can be drawn over expected/nominal...
The New Millennium Remote Agent (NMRA) will be the rst on-board AI system to control an actual spacecraft. The spacecraft domain raises a number of challenges for planning and exe...
Barney Pell, Erann Gat, Ron Keesing, Nicola Muscet...
We consider the problem of planning optimally in potentially concurrent probabilistic domains: actions have probabilistic effects and may execute in parallel under certain conditi...
Recently, Linear Temporal Logic (LTL) has been successfully applied to high-level task and motion planning problems for mobile robots. One of the main attributes of LTL is its clo...
Hadas Kress-Gazit, Georgios E. Fainekos, George J....