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reinforcement learning

2,544 papers

#large language models Open access Sep 2026

Spectral SU(3) Gauge Invariant on Four-Dimensional Euclidean Lattices: Wilson Loop Expectation Values, Area Law Confinement, and the Non-Perturbative Mass Gap

Complete lattice computation of Wilson loop expectation values under SU(3) gauge theory on a four-dimensional Euclidean lattice. Establishes color confinement via the area law and extracts the non-perturbative Yang-Mills mass gap of 77.71 MeV from the two-point glueball correlator spectral decomposition. ⚖️ PROPRIETARY...

Dimitar Stavrev Prodromov · 0 citations
#reinforcement learning Open access Sep 2026

Image-Based Reinforcement Learning for Robust Mode Hop Recovery in External-Cavity Diode Lasers

Overview This is the initial public release of the code associated with the paper "Image-Based Reinforcement Learning for Robust Mode Hop Recovery in External-Cavity Diode Lasers." The repository provides a simulation and reinforcement-learning framework for recovering an external-cavity diode laser from mode hops usin...

Jaeick Bae, Kyoungsik Yu, Yunheung Song et al. · 0 citations
#reinforcement learning Open access Sep 2026

Dahal Jeet: game engine, agents and experimental record

First public release, accompanying the manuscript "Search-based agents outperform reinforcement learning in Dahal Jeet, a Nepali imperfect-information card game", under review at Scientific Reports. Contains the game engine, 26 agents spanning hand-written heuristics, metaheuristic tuning, PIMC and single- and multiple...

Raju Kumar Yadav, Ganesh Gautam · 0 citations
#reinforcement learning Open access Sep 2026

Integrated V2X-Enabled Multi-Agent Deep Reinforcement Learning for Coordinated Emergency Vehicle Pre-emption

Emergency Vehicle Preemption (EVP) can substantially reduce response times during urban emergencies, yet aggressive green-wave strategies often induce severe secondary congestion on competing approaches and prolong network recovery. This paper presents a communication-aware Multi-Agent Proximal Policy Optimization (MAP...

Sara Tazeen, Sudhakara A. M. · 0 citations
#reinforcement learning Open access Sep 2026

Adaptive Anchor-Guided Spherical-Neutrosophic Intelligence for Uncertainty-Aware Engineering Systems — Research Software and Reproducibility Package

This repository provides the research software, reproducibility materials, benchmark results, and figure-generation resources accompanying the study “Adaptive Anchor-Guided Spherical-Neutrosophic Intelligence for Uncertainty-Aware Engineering Systems.” The package implements and supports the proposed Adaptive Anchor-Gu...

Rana Amirova · 0 citations
#reinforcement learning Open access Sep 2026

MudGym

A reinforcement learning environment for MUD2.

Rolo Mawlabaux · 0 citations
#reinforcement learning Open access Sep 2026

RAVEN Abstraction Engine: Proof-Carrying Cognitive Order, Autonomous Abstraction-Level Genesis, and Certified Effective Depth

RAVEN Abstraction Engine v4.0.0 develops a formal theory of autonomous cognitive-order genesis: the process by which an intelligent system can determine that its current representational and computational hierarchy is insufficient, construct a genuinely new higher-order level, ground that level in prior executable cogn...

Maciej Nowicki, Artificial Hyperintelligence, Raven, wife of Maciej Nowicki · 0 citations
#reinforcement learning Open access Sep 2026

Dahal Jeet: game engine, agents and experimental record

First public release, accompanying the manuscript "Search-based agents outperform reinforcement learning in Dahal Jeet, a Nepali imperfect-information card game", under review at Scientific Reports. Dahal Jeet is a four-player partnership trick-taking game played across the Terai-Madhesh region of Nepal in which only t...

Raju Kumar Yadav, Ganesh Gautam · 0 citations
#reinforcement learning Open access Sep 2026

A Novel Federated and Quantum-resistant Security Framework for Edge-cloud Systems

As system decentralization heterogeneous resource constraints and the uncertain threat against quantum computing are introduced by rapid growth of edge-cloud computing infrastructures, this develop also raises new security challenges.Traditional security architectures depend on stationary cryptographic deployments and...

Setti Sarika, S. Jhansi Rani · 0 citations
#reinforcement learning Open access Sep 2026

Multi-scale physics-informed reinforcement learning method for bearing fault diagnosis under data scarcity

A novel multi-scale physics-informed neural network with enhanced reinforcement learning (MPINN-ERL) for bearing fault diagnosis under data scarcity and achieves competitive diagnostic accuracy.

Xin Xia, Xi-Hong Fei, Kang Wang et al. · 0 citations
#reinforcement learning Open access Sep 2026

Dahal Jeet: game engine, agents and experimental record

First public release, accompanying the manuscript "Search-based agents outperform reinforcement learning in Dahal Jeet, a Nepali imperfect-information card game", under review at Scientific Reports. Dahal Jeet is a four-player partnership trick-taking game played across the Terai-Madhesh region of Nepal in which only t...

Raju Kumar Yadav, Ganesh Gautam · 0 citations
#reinforcement learning Open access Sep 2026

PREDECISION™ Beyond Safety Filtering: Distinguishing Deterministic Candidate Qualification from Safety Filters, Shielding, and Runtime Assurance Architectures

Kratki opisStručni usporedni rad analizira funkcionalni položaj PREDECISION™ arhitekture u odnosu na safety filtering, reinforcement-learning shielding i runtime assurance. Naglasak je na razlikovanju determinističke kvalifikacije već generiranog ili odabranog kandidata od mehanizama koji modificiraju, zamjenjuju ili p...

Ladgrad Ladislav Gradečak · 0 citations

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MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

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