-
Generalized Heuristic Learning Dataset
The dataset used in the paper is a library of trajectories for a planning problem, where each trajectory is a sequence of actions and states. -
Waypoints and Edges
The dataset used in the paper is a set of waypoints and edges for planning. -
Learning Generalized Policy Automata for Relational Stochastic Shortest Path ...
The dataset used in this paper is a set of small SSP instances with small object counts, used to learn Generalized Policy Automata (GPAs) for solving larger related SSPs. -
Classical and Multi-Agent Epistemic Planning
The dataset used in the paper is a collection of planning problems for classical and multi-agent epistemic planning. -
Learning Generalized Reactive Policies using Deep Neural Networks
A new approach to learning for planning, where knowledge acquired while solving a given set of planning problems is used to plan faster in related, but new problem instances.