Search

Search Results

• Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial Observability

  Shashank Shekhar, Ronen I. Brafman, Guy Shani

  11954-11961

  2021-05-18

• Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

  Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

  11962-11971

  2021-05-18

• Symbolic Search for Oversubscription Planning

  David Speck, Michael Katz

  11972-11980

  2021-05-18

• Online Action Recognition

  Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras, Guillem Alenyà

  11981-11989

  2021-05-18

• A Complexity-theoretic Analysis of Green Pickup-and-Delivery Problems

  Xing Tan, Jimmy Xiangji Huang

  11990-11997

  2021-05-18

• Faster Stackelberg Planning via Symbolic Search and Information Sharing

  Álvaro Torralba, Patrick Speicher, Robert Künnemann, Marcel Steinmetz, Jörg Hoffmann

  11998-12006

  2021-05-18

• On the Optimal Efficiency of A* with Dominance Pruning

  Álvaro Torralba

  12007-12014

  2021-05-18

• Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search

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

  12015-12023

  2021-05-18

• Asking the Right Questions: Learning Interpretable Action Models Through Query Answering

  Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava

  12024-12033

  2021-05-18

• Competitive Analysis for Two-Level Ski-Rental Problem

  Binghan Wu, Wei Bao, Dong Yuan

  12034-12041

  2021-05-18

• Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems

  Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

  12042-12049

  2021-05-18

• Group Fairness by Probabilistic Modeling with Latent Fair Decisions

  YooJung Choi, Meihua Dang, Guy Van den Broeck

  12051-12059

  2021-05-18

• GO Hessian for Expectation-Based Objectives

  Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin

  12060-12068

  2021-05-18

• Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback

  Gianlorenzo D'Angelo, Debashmita Poddar, Cosimo Vinci

  12069-12077

  2021-05-18

• Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks

  Hongfei Du, Emre Barut, Fang Jin

  12078-12085

  2021-05-18

• Scalable First-Order Methods for Robust MDPs

  Julien Grand-Clément, Christian Kroer

  12086-12094

  2021-05-18

• High Dimensional Level Set Estimation with Bayesian Neural Network

  Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh

  12095-12103

  2021-05-18

• A Generative Adversarial Framework for Bounding Confounded Causal Effects

  Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu

  12104-12112

  2021-05-18

• Estimating Identifiable Causal Effects through Double Machine Learning

  Yonghan Jung, Jin Tian, Elias Bareinboim

  12113-12122

  2021-05-18

• Relational Boosted Bandits

  Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran

  12123-12130

  2021-05-18

• Instrumental Variable-based Identification for Causal Effects using Covariate Information

  Yuta Kawakami

  12131-12138

  2021-05-18

• Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks

  Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin

  12139-12146

  2021-05-18

• Submodel Decomposition Bounds for Influence Diagrams

  Junkyu Lee, Radu Marinescu, Rina Dechter

  12147-12157

  2021-05-18

• A New Bounding Scheme for Influence Diagrams

  Radu Marinescu, Junkyu Lee, Rina Dechter

  12158-12165

  2021-05-18

• Estimation of Spectral Risk Measures

  Ajay Kumar Pandey, Prashanth L.A., Sanjay P. Bhat

  12166-12173

  2021-05-18