Computing and Explaining Query Answers over Inconsistent DL-Lite Knowledge Bases.
AI Generality and Spearman's Law of Diminishing Returns.
Pitfalls and Best Practices in Algorithm Configuration.
Iterative Local Voting for Collective Decision-making in Continuous Spaces.
Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm.
Multi-scale Hierarchical Residual Network for Dense Captioning.
A Generalisation of AGM Contraction and Revision to Fragments of First-Order Logic.
A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems.
Conditional Simple Temporal Networks with Uncertainty and Resources.
On Inductive Abilities of Latent Factor Models for Relational Learning.
Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity.
New Approximations for Coalitional Manipulation in Scoring Rules.
Dynamic Controllability of Controllable Conditional Temporal Problems with Uncertainty.
Using Collective Behavior of Coupled Oscillators for Solving DCOP.
Logical Foundations of Linked Data Anonymisation.
Modeling and Planning with Macro-Actions in Decentralized POMDPs.
Viewpoint: Human-in-the-loop Artificial Intelligence.
A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty.
Level-0 Models for Predicting Human Behavior in Games.
Cost-Based Goal Recognition in Navigational Domains.
Revisiting CFR+ and Alternating Updates.
Fair Allocation of Indivisible Goods to Asymmetric Agents.
Negotiable Votes.
Polynomial and Exponential Bounded Logic Programs with Function Symbols: Some New Decidable Classes.
Rank Pruning for Dominance Queries in CP-Nets.
