ICAPS - RankMe

70 papers

Year	Title / Authors
2020	- D3WA+ - A Case Study of XAIP in a Model Acquisition Task for Dialogue Planning. Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Yasaman Khazaeni, Subbarao Kambhampati
2020	A Decentralised Strategy for Heterogeneous AUV Missions via Goal Distribution and Temporal Planning. Yaniel Carreno, Èric Pairet, Yvan R. Pétillot, Ronald P. A. Petrick
2020	A Novel Lookahead Strategy for Delete Relaxation Heuristics in Greedy Best-First Search. Maximilian Fickert
2020	A Simple and Fast Bi-Objective Search Algorithm. Carlos Hernández Ulloa, William Yeoh, Jorge A. Baier, Han Zhang, Luis Suazo, Sven Koenig
2020	Adaptive Informative Path Planning with Multimodal Sensing. Shushman Choudhury, Nate Gruver, Mykel J. Kochenderfer
2020	Algorithm Selection for Optimal Multi-Agent Pathfinding. Omri Kaduri, Eli Boyarski, Roni Stern
2020	An AI-Based Planning Framework for HAPS in a Time-Varying Environment. Jane Jean Kiam, Enrico Scala, Miquel Ramírez Jávega, Axel Schulte
2020	Analyzing and Avoiding Pathological Behavior in Parallel Best-First Search. Ryo Kuroiwa, Alex Fukunaga
2020	Bounded Suboptimal Path Planning with Compressed Path Databases. Shizhe Zhao, Mattia Chiari, Adi Botea, Alfonso Emilio Gerevini, Daniel Harabor, Alessandro Saetti, Peter J. Stuckey
2020	Certified Unsolvability for SAT Planning with Property Directed Reachability. Salomé Eriksson, Malte Helmert
2020	Computing Close to Optimal Weighted Shortest Paths in Practice. Nguyet Tran, Michael J. Dinneen, Simone Linz
2020	Contention-Aware Mapping and Scheduling Optimization for NoC-Based MPSoCs. Rongjie Yan, Yupeng Zhou, Anyu Cai, Changwen Li, Yige Yan, Minghao Yin
2020	Convex Hull Monte-Carlo Tree-Search. Michael Painter, Bruno Lacerda, Nick Hawes
2020	Deep Reinforcement Learning Approach to Solve Dynamic Vehicle Routing Problem with Stochastic Customers. Waldy Joe, Hoong Chuin Lau
2020	Driver Activity Recognition by Means of Temporal HTN Planning. Juan Fernández-Olivares, Raúl Pérez
2020	Dynamic Controllability and (J, K)-Resiliency in Generalized Constraint Networks with Uncertainty. Matteo Zavatteri, Romeo Rizzi, Tiziano Villa
2020	EFP 2.0: A Multi-Agent Epistemic Solver with Multiple E-State Representations. Francesco Fabiano, Alessandro Burigana, Agostino Dovier, Enrico Pontelli
2020	Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time. Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
2020	Exploring Context-Free Languages via Planning: The Case for Automating Machine Learning. Michael Katz, Parikshit Ram, Shirin Sohrabi, Octavian Udrea
2020	Faster Dynamic-Consistency Checking for Conditional Simple Temporal Networks. Luke Hunsberger, Roberto Posenato
2020	Generating Explanations for Temporal Logic Planner Decisions. Daniel Kasenberg, Ravenna Thielstrom, Matthias Scheutz
2020	Generating and Exploiting Cost Predictions in Heuristic State-Space Planning. Francesco Percassi, Alfonso Emilio Gerevini, Enrico Scala, Ivan Serina, Mauro Vallati
2020	Guidelines for Action Space Definition in Reinforcement Learning-Based Traffic Signal Control Systems. Maxime Tréca, Julian Garbiso, Dominique Barth
2020	Hierarchical Graph Traversal for Aggregate k Nearest Neighbors Search in Road Networks. Tenindra Abeywickrama, Muhammad Aamir Cheema, Sabine Storandt
2020	Imitation Learning over Heterogeneous Agents with Restraining Bolts. Giuseppe De Giacomo, Marco Favorito, Luca Iocchi, Fabio Patrizi
2020	Incremental Search for Counterexample-Guided Cartesian Abstraction Refinement. Jendrik Seipp, Samuel von Allmen, Malte Helmert
2020	Integrating Acting, Planning, and Learning in Hierarchical Operational Models. Sunandita Patra, James Mason, Amit Kumar, Malik Ghallab, Paolo Traverso, Dana S. Nau
2020	Joint Inference of Reward Machines and Policies for Reinforcement Learning. Zhe Xu, Ivan Gavran, Yousef Ahmad, Rupak Majumdar, Daniel Neider, Ufuk Topcu, Bo Wu
2020	Learning Domain-Independent Planning Heuristics with Hypergraph Networks. William Shen, Felipe W. Trevizan, Sylvie Thiébaux
2020	Learning Model Parameters for Decentralized Schedule-Driven Traffic Control. Hsu-Chieh Hu, Stephen F. Smith
2020	Learning Neural Search Policies for Classical Planning. Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone
2020	Learning Sequences of Approximations for Hierarchical Motion Planning. Martim Brandão, Ioannis Havoutis
2020	Lifted Successor Generation Using Query Optimization Techniques. Augusto B. Corrêa, Florian Pommerening, Malte Helmert, Guillem Francès
2020	Multi-Agent Path Finding with Mutex Propagation. Han Zhang, Jiaoyang Li, Pavel Surynek, Sven Koenig, T. K. Satish Kumar
2020	Multi-Tier Automated Planning for Adaptive Behavior. Daniel Alfredo Ciolek, Nicolás D'Ippolito, Alberto Pozanco, Sebastian Sardiña
2020	Multiple-Environment Markov Decision Processes: Efficient Analysis and Applications. Krishnendu Chatterjee, Martin Chmelík, Deep Karkhanis, Petr Novotný, Amélie Royer
2020	New Developments for Robert - Assisting Novice Users Even Better in DIY Projects. Gregor Behnke, Pascal Bercher, Matthias Kraus, Marvin R. G. Schiller, Kristof Mickeleit, Timo Häge, Michael Dorna, Michael Dambier, Dietrich Manstetten, Wolfgang Minker, Birte Glimm, Susanne Biundo
2020	New Techniques for Pairwise Symmetry Breaking in Multi-Agent Path Finding. Jiaoyang Li, Graeme Gange, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig
2020	New Valid Inequalities in Branch-and-Cut-and-Price for Multi-Agent Path Finding. Edward Lam, Pierre Le Bodic
2020	Observation Decoding with Sensor Models: Recognition Tasks via Classical Planning. Diego Aineto, Sergio Jiménez, Eva Onaindia
2020	On the Computational Complexity of Multi-Agent Pathfinding on Directed Graphs. Bernhard Nebel
2020	Online Computation of Euclidean Shortest Paths in Two Dimensions. Ryan Hechenberger, Peter J. Stuckey, Daniel Harabor, Pierre Le Bodic, Muhammad Aamir Cheema
2020	Online Traffic Signal Control through Sample-Based Constrained Optimization. Srishti Dhamija, Alolika Gon, Pradeep Varakantham, William Yeoh
2020	Optimal and Heuristic Approaches for Constrained Flight Planning under Weather Uncertainty. Florian Geißer, Guillaume Povéda, Felipe W. Trevizan, Manon Bondouy, Florent Teichteil-Königsbuch, Sylvie Thiébaux
2020	PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning. Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2020	POMDP + Information-Decay: Incorporating Defender's Behaviour in Autonomous Penetration Testing. Jonathon Schwartz, Hanna Kurniawati, Edwin El-Mahassni
2020	Predicting the Effectiveness of Bidirectional Heuristic Search. Nathan R. Sturtevant, Shahaf S. Shperberg, Ariel Felner, Jingwei Chen
2020	Privacy Preserving Planning in Stochastic Environments. Guy Shani, Roni Stern, Tommy Hefner
2020	Probabilistic Robust Multi-Agent Path Finding. Dor Atzmon, Roni Stern, Ariel Felner, Nathan R. Sturtevant, Sven Koenig
2020	Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, Nancy, France, October 26-30, 2020 J. Christopher Beck, Olivier Buffet, Jörg Hoffmann, Erez Karpas, Shirin Sohrabi
2020	Real Time Crowd Navigation from First Principles of Probability Theory. Peter Trautman, Karankumar Patel
2020	Refining Process Descriptions from Execution Data in Hybrid Planning Domain Models. Alan Lindsay, Santiago Franco, Rubiya Reba, Thomas Leo McCluskey
2020	Reinforcement Learning for Zone Based Multiagent Pathfinding under Uncertainty. Jiajing Ling, Tarun Gupta, Akshat Kumar
2020	Revisiting Bounded-Suboptimal Safe Interval Path Planning. Konstantin S. Yakovlev, Anton Andreychuk, Roni Stern
2020	Scheduling with Complex Consumptive Resources for a Planetary Rover. Wayne Chi, Steve A. Chien, Jagriti Agrawal
2020	Search-Guidance Mechanisms for Numeric Planning Through Subgoaling Relaxation. Enrico Scala, Alessandro Saetti, Ivan Serina, Alfonso Emilio Gerevini
2020	Sequencing Operator Counts with State-Space Search. Wesley L. Kaizer, André Grahl Pereira, Marcus Ritt
2020	Solving K-MDPs. Jonathan Ferrer-Mestres, Thomas G. Dietterich, Olivier Buffet, Iadine Chadès
2020	Solving Large Real-Life Bus Driver Scheduling Problems with Complex Break Constraints. Lucas Kletzander, Nysret Musliu
2020	Solving the Longest Simple Path Problem with Heuristic Search. Yossi Cohen, Roni Stern, Ariel Felner
2020	Solving the Test Laboratory Scheduling Problem with Variable Task Grouping. Philipp Danzinger, Tobias Geibinger, Florian Mischek, Nysret Musliu
2020	Solving the Watchman Route Problem on a Grid with Heuristic Search. Shawn Seiref, Tamir Jaffey, Margarita Lopatin, Ariel Felner
2020	Stochastic Fairness and Language-Theoretic Fairness in Planning in Nondeterministic Domains. Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin
2020	Strengthening Potential Heuristics with Mutexes and Disambiguations. Daniel Fiser, Rostislav Horcík, Antonín Komenda
2020	Symbolic Plans as High-Level Instructions for Reinforcement Learning. León Illanes, Xi Yan, Rodrigo Toro Icarte, Sheila A. McIlraith
2020	TLdR: Policy Summarization for Factored SSP Problems Using Temporal Abstractions. Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
2020	Through the Lens of Sequence Submodularity. Sara Bernardini, Fabio Fagnani, Chiara Piacentini
2020	Utilising Uncertainty for Efficient Learning of Likely-Admissible Heuristics. Ofir Marom, Benjamin Rosman
2020	We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions. Aye Phyu Phyu Aung, Xinrun Wang, Bo An, Xiaoli Li
2020	When Perfect Is Not Good Enough: On the Search Behaviour of Symbolic Heuristic Search. David Speck, Florian Geißer, Robert Mattmüller