This dataset supports the paper "Cardinality-Adaptive Multi-Agent Reinforcement Learning for Variable-Scale Cooperative Aerial Games" (submitted to Applied Intelligence). It contains the complete training and evaluation records of CA-MAPPO, a cardinality-adaptive multi-agent proximal policy optimization algorithm for v...
This paper studies when a reinforcement-learning system should acquire additional information before acting. It introduces causal observability: a finite criterion for whether an observation regime preserves the intervention-relevant distinctions needed for a declared decision. The central result shows that observation...
Kaliel Williamson· Zenodo (CERN European Organi...· 0 citations
Recent advances in reinforcement learning (RL) have spurred growing interest in its application to multi-period financial planning. Existing literature broadly follows three paradigms: hybrid RL, scalable RL, and end-to-end RL. This paper develops a hybrid regime-aware RL framework for dynamic asset allocation that emb...
Yirui Luo, John M. Mulvey· The Journal of Financial Dat...· 0 citations
Reproduction material for the survey "Study-Area Boundaries in Reinforcement Learning-Based Route Guidance: A Survey of Evaluation Design and ReportingRequirements" by Donghoun Lee. The archive contains the grid, benchmark and SUMO environments, the planner, the training code, the screened corpus withthe recorded field...
GDH8808· Zenodo (CERN European Organi...· 0 citations
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A flexible reinforcement learning method is introduced for flow-matching based generative models, allowing the velocity field to be refined according to a user-defined reward function, enabling dynamic fine-tuning and joint optimization of features, outperforming baseline approaches in diverse optimization scenarios.
Kun-Yu Wang, Jon Paul Janet, Alessandro Tibo· Communications Chemistry· 1 citation
ABSTRACT Students’ learning confidence at the elementary school level does not always develop through academic learning alone, particularly when they remain hesitant to ask questions, answer questions, express their opinions, or complete tasks without assistance. This condition provided the basis for examining the role...
TOPO-RLHF: Full Summary Core Contribution TOPO-RLHF presents the first integration of topological permanence with Reinforcement Learning from Human Feedback (RLHF), enabling existing models to acquire new capabilities without forgetting prior knowledge. The Problem It Solves Catastrophic Forgetting (1989-2026) AI syste...
FRANK MORALES· Zenodo (CERN European Organi...· 0 citations
TOPO-RLHF: Full Summary Core Contribution TOPO-RLHF presents the first integration of topological permanence with Reinforcement Learning from Human Feedback (RLHF), enabling existing models to acquire new capabilities without forgetting prior knowledge. The Problem It Solves Catastrophic Forgetting (1989-2026) AI syste...
FRANK MORALES· Zenodo (CERN European Organi...· 0 citations
This paper presents a meta-synthesis that draws together four constituent studies covering adversarial machine learning, AI-powered anomaly detection in cloud environments, automated vulnerability patching by multi-agent large language model (LLM) pipelines, and the broader landscape of securing AI systems across their...
Harsh Verma· International Journal of Sci...· 0 citations
Current work on improving reliability in large language model (LLM)- generated answers has primarily leveraged Retrieval-Augmented Generation (RAG), knowledge-graph augmentation, and reinforcement learning. While these methods are adept at enhancing and measuring reliability through semantic similarity and faithfulness...
M. Ravi, Shailik Sarkar, Lulwah Alkulaib et al.· ACM International Conference...· 0 citations
Reinforcement learning as a decision making technique for cathode material design has been evaluated and how RL can support the composition selection, dopant, and crystal structure optimisation is analyzed.
Taimoor Muzaffar Gondal, Muhammad Qasim, Yasir Arafat· Nanomaterials· 0 citations
The polishing head is one of the most important components in the chemical mechanical polishing (CMP) process, used to achieve an ultra-smooth surface on the wafer. Due to the effect of the retaining ring and the replacement of the polishing pad, the polishing process is subjected to drift and shift interference. The C...
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
Learn how Google Antigravity and our Cheminformatics Skills accelerate drug discovery workflows, search compounds, and propose novel rigidified macrocycles.
MIT News · Artificial Intelligence· news.mit.eduOct 27, 2026
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
