Regarding Goal Bounding and Jump Point Search.
Hybrid-order Network Consensus for Distributed Multi-agent Systems.
Weighted First-Order Model Counting in the Two-Variable Fragment With Counting Quantifiers.
Generic Constraint-based Block Modeling using Constraint Programming.
On the Decomposition of Abstract Dialectical Frameworks and the Complexity of Naive-based Semantics.
MADRaS : Multi Agent Driving Simulator.
Cost-optimal Planning, Delete Relaxation, Approximability, and Heuristics.
Learning Temporal Causal Sequence Relationships from Real-Time Time-Series.
The Computational Complexity of Understanding Binary Classifier Decisions.
Safe Multi-Agent Pathfinding with Time Uncertainty.
Labeled Bipolar Argumentation Frameworks.
Lilotane: A Lifted SAT-based Approach to Hierarchical Planning.
The Societal Implications of Deep Reinforcement Learning.
Loss Functions, Axioms, and Peer Review.
On the Distortion Value of Elections with Abstention.
Computational Complexity of Computing Symmetries in Finite-Domain Planning.
A Survey on the Explainability of Supervised Machine Learning.
The AI Liability Puzzle and A Fund-Based Work-Around.
Strategyproof Mechanisms for Additively Separable and Fractional Hedonic Games.
An External Knowledge Enhanced Graph-based Neural Network for Sentence Ordering.
Confident Learning: Estimating Uncertainty in Dataset Labels.
Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms.
General Value Function Networks.
Aggregation over Metric Spaces: Proposing and Voting in Elections, Budgeting, and Legislation.
Two-facility Location Games with Minimum Distance Requirement.
On the Evolvability of Monotone Conjunctions with an Evolutionary Mutation Mechanism.
Efficient Multi-objective Reinforcement Learning via Multiple-gradient Descent with Iteratively Discovered Weight-Vector Sets.
Benchmark and Survey of Automated Machine Learning Frameworks.
A Sufficient Statistic for Influence in Structured Multiagent Environments.
Instance-Level Update in DL-Lite Ontologies through First-Order Rewriting.
On Super Strong ETH.
Efficient Large-Scale Multi-Drone Delivery using Transit Networks.
Superintelligence Cannot be Contained: Lessons from Computability Theory.
Induction and Exploitation of Subgoal Automata for Reinforcement Learning.
Classifier Chains: A Review and Perspectives.
Efficient Retrieval of Matrix Factorization-Based Top-k Recommendations: A Survey of Recent Approaches.
Taking Principles Seriously: A Hybrid Approach to Value Alignment in Artificial Intelligence.
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing.
Liquid Democracy: An Algorithmic Perspective.
Integrated Offline and Online Decision Making under Uncertainty.
