arXiv Machine Learning
Reinforcement Learning in Operational Research: A Technical Review and Practical Roadmap
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Reinforcement Learning in the Real World: A Survey of Statistical Challenges and Future Directions
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A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
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Exploiting Symbolic Heuristics for the Synthesis of Domain-Specific Temporal Planning Guidance using Reinforcement Learning
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World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications
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Reinforcement Learning: From Algorithms To Foundation Models
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Hierarchical Decision Making with Structured Policies: A Principled Design via Inverse Optimization
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