Showing 1–18 of 18 results
/ Date/ Name
Jul 1, 2022Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow ModelsJun 2, 2021Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision MakingApr 11, 2022Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learningNov 25, 2021Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021)Feb 1, 2021Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree SearchNov 23, 2022Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement LearningMar 17, 2021A Practical Guide to Multi-Objective Reinforcement Learning and PlanningOct 20, 2010Cross-Community Dynamics in Science: How Information Retrieval Affects Semantic Web and Vice VersaDec 12, 2018Temporal Analysis of Entity Relatedness and its Evolution using Wikipedia and DBpediaOct 4, 2012Theoretical And Technological Building Blocks For An Innovation AcceleratorJan 11, 2012A Time Decoupling Approach for Studying Forum DynamicsMay 9, 2023Distributional Multi-Objective Decision MakingNov 12, 2025Solving a Million-Step LLM Task with Zero ErrorsSep 29, 2025Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement LearningMay 16, 2025Deep Symbolic Optimization: Reinforcement Learning for Symbolic MathematicsFeb 5, 2024Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement LearningOct 15, 2024Multi-objective Reinforcement Learning: A Tool for Pluralistic AlignmentJun 14, 2024From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models