Papers
Not Everything Is Permitted: Constrained Cartesian Abstractions for Optimal Classical Planning
Martín Pozo, Álvaro Torralba, Carlos Linares López
Planning with Uncertain Action Models
Francesco Percassi, Alessandro Saetti, Enrico Scala
Makespan Investigations of Sequential, Parallel, PO, and POCL Plans
Harrison Oates, Pascal Bercher
Two Constraint Compilation Methods for Lifted Planning
Periklis Mantenoglou, Luigi Bonassi, Enrico Scala et al.
Diverse Human Driving Vehicle Simulation in Background Traffic for Autonomous Driving Tests
Wendi Li, Hao Wu, Han Gao et al.
Elite Pattern Reinforcement for Vehicle Routing Problems
Ning Li, Peng Lin, Peng Zhang et al.
Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
Haoyu Lei, Kaiwen Zhou, Yinchuan Li et al.
Hierarchical Reinforcement Learning with Topology-Aware Exploration Framework for Multi-path Commodity Flow Problem
Jingchen Jiang, Xuan Zhou, Jiayuan Li et al.
Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services
Jiahua Huang, Wentai Wu, Yongheng Liu et al.
Learning Heuristic Functions for HTN Planning
Daniel Höller
Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking
Linus Heck, Filip Macák, Milan Češka et al.
Robust Out-of-Order Retrieval for Grid-Based Storage at Maximum Capacity
Tzvika Geft, William Zhang, Jingjin Yu et al.
Symmetry-Aware Transformer Training for Automated Planning
Markus Fritzsche, Elliot Gestrin, Jendrik Seipp
Managing Infinite Abstractions in Numeric Pattern Database Heuristics
Markus Fritzsche, Daniel Gnad, Mikhail Gruntov et al.
Universal Safety Controllers with Learned Prophecies
Bernd Finkbeiner, Niklas Metzger, Satya Prakash Nayak et al.
A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation
Francesco Doria, Francesco Percassi, Marco Maratea et al.
Satisficing and Optimal Generalised Planning via Goal Regression
Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen et al.
Probabilistic Hierarchical Goal Network Planning with UCT
David H. Chan, Mark Roberts, Dana S. Nau
CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation
Yishuai Cai, Xinglin Chen, Yunxin Mao et al.
Learning Heuristic Functions with Graph Neural Networks for Numeric Planning
Valerio Borelli, Alfonso Gerevini, Enrico Scala et al.
Extreme Value Monte Carlo Tree Search for Classical Planning
Masataro Asai, Stephen Wissow
Revealing POMDPs: Qualitative and Quantitative Analysis for Parity Objectives
Ali Asadi, Krishnendu Chatterjee, David Lurie et al.
Qualitative Analysis of ω-Regular Objectives on Robust MDPs
Ali Asadi, Krishnendu Chatterjee, Ehsan Kafshdar Goharshady et al.