Scrubbing During Learning In Real-time Heuristic Search.
Learning Continuous Time Bayesian Networks in Non-stationary Domains.
Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation.
Convergence of Iterative Scoring Rules.
ProMoca: Probabilistic Modeling and Analysis of Agents in Commitment Protocols.
A Disaster Response System based on Human-Agent Collectives.
Lightweight Random Indexing for Polylingual Text Classification.
A Survey of Computational Treatments of Biomolecules by Robotics-Inspired Methods Modeling Equilibrium Structure and Dynamic.
Embarrassingly Parallel Search in Constraint Programming.
A Primer on Neural Network Models for Natural Language Processing.
Effective Heuristics for Suboptimal Best-First Search.
PDT Logic: A Probabilistic Doxastic Temporal Logic for Reasoning about Beliefs in Multi-agent Systems.
Goal Probability Analysis in Probabilistic Planning: Exploring and Enhancing the State of the Art.
ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets.
P-SyncBB: A Privacy Preserving Branch and Bound DCOP Algorithm.
Optimal Partial-Order Plan Relaxation via MaxSAT.