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• Planning Satellite Swarm Measurements for Earth Science Models: Comparing Constraint Processing and MILP Methods

  Rich Levinson, Samantha Niemoeller, Sreeja Nag, Vinay Ravindra

  471-479

  2022-06-13

• Talking Trucks: Decentralized Collaborative Multi-Agent Order Scheduling for Self-Organizing Logistics

  Geert L. J. Pingen, Christian R. van Ommeren, Cornelis J. van Leeuwen, Ruben W. Fransen, Tijmen Elfrink, Yorick C. de Vries, Janarthanan Karunakaran, Emir Demirović, Neil Yorke-Smith

  480-489

  2022-06-13

• Building Resource-Dependent Conditional Plans for an Earth Monitoring Satellite

  Cédric Pralet, David Doose, Julien Anxionnat, Jérémie Pouly

  490-498

  2022-06-13

• Joint Pricing and Matching for City-Scale Ride-Pooling

  Sanket Shah, Meghna Lowalekar, Pradeep Varakantham

  499-507

  2022-06-13

• RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions

  Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati

  508-517

  2022-06-13

• Analyzing the Efficacy of Flexible Execution, Replanning, and Plan Optimization for a Planetary Lander

  Daniel Wang, Joseph A. Russino, Connor Basich, Steve Chien

  518-526

  2022-06-13

• Stochastic Resource Optimization over Heterogeneous Graph Neural Networks for Failure-Predictive Maintenance Scheduling

  Zheyuan Wang, Matthew Gombolay

  527-536

  2022-06-13

• An End-to-End Automatic Cache Replacement Policy Using Deep Reinforcement Learning

  Yang Zhou, Fang Wang, Zhan Shi, Dan Feng

  537-545

  2022-06-13

• Is Policy Learning Overrated?: Width-Based Planning and Active Learning for Atari

  Benjamin Ayton, Masataro Asai

  547-555

  2022-06-13

• Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning

  Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein

  556-564

  2022-06-13

• Distributed Fleet Management in Noisy Environments via Model-Predictive Control

  Simon Bøgh, Peter Gjøl Jensen, Martin Kristjansen, Kim Guldstrand Larsen, Ulrik Nyman

  565-573

  2022-06-13

• Inferring Probabilistic Reward Machines from Non-Markovian Reward Signals for Reinforcement Learning

  Taylor Dohmen, Noah Topper, George Atia, Andre Beckus, Ashutosh Trivedi, Alvaro Velasquez

  574-582

  2022-06-13

• Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods

  Patrick Ferber, Florian Geißer, Felipe Trevizan, Malte Helmert, Jörg Hoffmann

  583-587

  2022-06-13

• Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators

  Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Kaelbling, Shirin Sohrabi, Michael Katz

  588-596

  2022-06-13

• TempAMLSI: Temporal Action Model Learning Based on STRIPS Translation

  Maxence Grand, Damien Pellier, Humbert Fiorino

  597-605

  2022-06-13

• Beyond Value: CheckList for Testing Inferences in Planning-Based RL

  Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern

  606-614

  2022-06-13

• Verifiable and Compositional Reinforcement Learning Systems

  Cyrus Neary, Christos Verginis, Murat Cubuktepe, Ufuk Topcu

  615-623

  2022-06-13

• Learning Multi-Agent Action Coordination via Electing First-Move Agent

  Jingqing Ruan, Linghui Meng, Xuantang Xiong, Dengpeng Xing, Bo Xu

  624-628

  2022-06-13

• Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits

  Simon Ståhlberg, Blai Bonet, Hector Geffner

  629-637

  2022-06-13

• Reinforcement Learning of Dispatching Strategies for Large-Scale Industrial Scheduling

  Pierre Tassel, Benjamin Kovács, Martin Gebser, Konstantin Schekotihin, Wolfgang Kohlenbrein, Philipp Schrott-Kostwein

  638-646

  2022-06-13

• Active Grammatical Inference for Non-Markovian Planning

  Noah Topper, George Atia, Ashutosh Trivedi, Alvaro Velasquez

  647-651

  2022-06-13

• Multi-Agent Tree Search with Dynamic Reward Shaping

  Alvaro Velasquez, Brett Bissey, Lior Barak, Daniel Melcer, Andre Beckus, Ismail Alkhouri, George Atia

  652-661

  2022-06-13

• DOMA: Deep Smooth Trajectory Generation Learning for Real-Time UAV Motion Planning

  Jin Yu, Haiyin Piao, Yaqing Hou, Li Mo, Xin Yang, Deyun Zhou

  662-666

  2022-06-13

• A Network Flow Interpretation of Robust Goal Legibility in Path Finding

  Sara Bernardini, Fabio Fagnani, Santiago Franco, Alexandra Neacsu

  668-677

  2022-06-13

• Actor-Focused Interactive Visualization for AI Planning

  Gabriel Dias Cantareira, Gerard Canal, Rita Borgo

  678-686

  2022-06-13