research
∙
05/18/2023
Generalized Planning in PDDL Domains with Pretrained Large Language Models
Recent work has considered whether large language models (LLMs) can func...
share
research
∙
11/28/2022
A Conflict-driven Interface between Symbolic Planning and Nonlinear Constraint Solving
Robotic planning in real-world scenarios typically requires joint optimi...
research
∙
03/09/2022
Reinforced Meta Active Learning
In stream-based active learning, the learning procedure typically has ac...
research
∙
03/01/2022
AI Planning Annotation for Sample Efficient Reinforcement Learning
AI planning and Reinforcement Learning (RL) both solve sequential decisi...
research
∙
10/28/2021
Meta Subspace Optimization
Subspace optimization methods have the attractive property of reducing l...
research
∙
09/30/2021
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
Recent advances in reinforcement learning (RL) have led to a growing int...
research
∙
05/15/2019
IPC: A Benchmark Data Set for Learning with Graph-Structured Data
Benchmark data sets are an indispensable ingredient of the evaluation of...
research
∙
11/01/2018
Adaptive Planner Scheduling with Graph Neural Networks
Automated planning is one of the foundational areas of AI. Since a singl...
research
∙
01/16/2014