Path Counting for Grid-Based Navigation.
Multi-Agent Advisor Q-Learning.
Planning with Critical Section Macros: Theory and Practice.
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality.
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems.
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint.
Core Challenges in Embodied Vision-Language Planning.
Evolutionary Dynamics and Phi-Regret Minimization in Games.
Recursion in Abstract Argumentation is Hard - On the Complexity of Semantics Based on Weak Admissibility.
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey.
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems.
Proactive Dynamic Distributed Constraint Optimization Problems.
Better Decision Heuristics in CDCL through Local Search and Target Phases.
Ordinal Maximin Share Approximation for Goods.
Improving Simulated Annealing for Clique Partitioning Problems.
Synthesis and Properties of Optimally Value-Aligned Normative Systems.
Pricing Problems with Buyer Preselection.
Efficient Learning of Interpretable Classification Rules.
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem.
A Comprehensive Framework for Learning Declarative Action Models.
CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings.
Cooperation and Learning Dynamics under Wealth Inequality and Diversity in Individual Risk.
Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization.
Supervised Visual Attention for Simultaneous Multimodal Machine Translation.
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches.
Classical Planning in Deep Latent Space.
Fair Division of Indivisible Goods for a Class of Concave Valuations.
C-Face: Using Compare Face on Face Hallucination for Low-Resolution Face Recognition.
Objective Bayesian Nets for Integrating Consistent Datasets.
Two-phase Multi-document Event Summarization on Core Event Graphs.
Finding and Recognizing Popular Coalition Structures.
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis.
Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis.
Impact of Imputation Strategies on Fairness in Machine Learning.
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm.
Metric-Distortion Bounds under Limited Information.
Flexible FOND Planning with Explicit Fairness Assumptions.
Inductive Logic Programming At 30: A New Introduction.
On the Tractability of SHAP Explanations.
A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching.
Avoiding Negative Side Effects of Autonomous Systems in the Open World.
Threshold Treewidth and Hypertree Width.
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation.
Admissibility in Probabilistic Argumentation.
