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• Performance Guarantees for Homomorphisms beyond Markov Decision Processes

  Sultan Javed Majeed, Marcus Hutter

  7659-7666

  2019-07-17

• Sliding Window Temporal Graph Coloring

  George B. Mertzios, Hendrik Molter, Viktor Zamaraev

  7667-7674

  2019-07-17

• Temporal Planning with Temporal Metric Trajectory Constraints

  Andrea Micheli, Enrico Scala

  7675-7682

  2019-07-17

• Automated Verification of Social Laws for Continuous Time Multi-Robot Systems

  Ronen Nir, Erez Karpas

  7683-7690

  2019-07-17

• Acting and Planning Using Operational Models

  Sunandita Patra, Malik Ghallab, Dana Nau, Paolo Traverso

  7691-7698

  2019-07-17

• Distribution-Based Semi-Supervised Learning for Activity Recognition

  Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

  7699-7706

  2019-07-17

• An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem

  Riccardo Rasconi, Angelo Oddi

  7707-7714

  2019-07-17

• Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection

  Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber

  7715-7723

  2019-07-17

• Rotational Diversity in Multi-Cycle Assignment Problems

  Helge Spieker, Arnaud Gotlieb, Morten Mossige

  7724-7731

  2019-07-17

• Online Multi-Agent Pathfinding

  Jiří Švancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták

  7732-7739

  2019-07-17

• Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem

  Nadjet Bourdache, Patrice Perny

  7741-7748

  2019-07-17

• Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications

  Daniel S. Brown, Scott Niekum

  7749-7758

  2019-07-17

• Robustness Guarantees for Bayesian Inference with Gaussian Processes

  Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane

  7759-7768

  2019-07-17

• Probabilistic Logic Programming with Beta-Distributed Random Variables

  Federico Cerutti, Lance Kaplan, Angelika Kimmig, Murat Şensoy

  7769-7776

  2019-07-17

• On Testing of Uniform Samplers

  Sourav Chakraborty, Kuldeep S. Meel

  7777-7784

  2019-07-17

• On the Hardness of Probabilistic Inference Relaxations

  Supratik Chakraborty, Kuldeep S. Meel, Moshe Y. Vardi

  7785-7792

  2019-07-17

• Learning Diverse Bayesian Networks

  Cong Chen, Changhe Yuan

  7793-7800

  2019-07-17

• Path-Specific Counterfactual Fairness

  Silvia Chiappa

  7801-7808

  2019-07-17

• Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines

  Liat Cohen, Gera Weiss

  7809-7815

  2019-07-17

• Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

  Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan

  7816-7824

  2019-07-17

• Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation

  Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt

  7825-7833

  2019-07-17

• Marginal Inference in Continuous Markov Random Fields Using Mixtures

  Yuanzhen Guo, Hao Xiong, Nicholas Ruozzi

  7834-7841

  2019-07-17

• A Generative Model for Dynamic Networks with Applications

  Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati

  7842-7849

  2019-07-17

• Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems

  Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan How

  7850-7857

  2019-07-17

• MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models

  Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas Allaire, Ulisses M. Braga-Neto

  7858-7865

  2019-07-17