4 citations · 4 across the 1 of their papers we have counts for
3 papers
Learning Neural Search Policies for Classical Planning
Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo +1
Heuristic forward search is currently the dominant paradigm in classical planning. Forward search algorithms typically rely on a single, relatively simple variation of best-first s…
Learning Classical Planning Strategies with Policy Gradient
Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo
A common paradigm in classical planning is heuristic forward search. Forward search planners often rely on simple best-first search which remains fixed throughout the search proces…
Towards learning domain-independent planning heuristics
Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo +1
Automated planning remains one of the most general paradigms in Artificial Intelligence, providing means of solving problems coming from a wide variety of domains. One of the key f…