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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. -
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task R...
Diffusion models have demonstrated highly-expressive generative capabilities in vision and NLP. Recent studies in reinforcement learning (RL) have shown that diffusion models...
