reinforcement learning

A network-aware hybrid deep reinforcement learning optimization framework for microgrid energy management under uncertainty

Neuro-fault recognition-based cybersecurity framework for cardio-hydro-electromechanical stimulators

The modern bio-medical systems are equipped with communication networks for remote control and monitoring purposes. However, the networked systems are susceptible to cyber-attacks, which degrade system operation. This work addresses the cybersecurity problem of cardio-hydro-electromechanical stimulator (C-HEMS) under m...

Large Organismic Model: A Developmental Architecture for Embodied, Affective, and Self-Directed Artificial Intelligence

We propose the Large Organismic Model (LOM), a developmental architecture for artificial intelligence. Rather than reporting the performance of an implemented system, this position paper formulates a testable computational hypothesis that integrates ideas from biology, developmental neuroscience, reinforcement learning...

Research-Group-Ai/MEC_IIoT_E_DDPG_LS_MCOR_TD3_Code: MEC IIoT E-DDPG-LS and MCOR-TD3 Code v1.0.0

MCOR-TD3 for MEC-Enabled IIoT — v1.0.1 This release contains Python code associated with the paper "Adaptive Task Caching and Resource Allocation in MEC-Enabled IIoT Using Deep Reinforcement Learning." It supports simulation of cooperative task offloading and computing-resource allocation using MCOR-TD3 to minimize max...

Improving Electric Grid Performance Through Forecasting and Reinforcement Machine Learning Model

Replication Package for "The State of RL4SE: A Task-Oriented Review of Research on Reinforcement Learning for Software Engineering"

This record contains the replication package for the survey “The State of RL4SE: A Task-Oriented Review of Research on Reinforcement Learning for Software Engineering.” The package supports the study-identification, screening, classification, and artifact-availability results reported in the survey. It contains: • cand...

Is Physics Actually Derived From Path Availability? What if What Causes Physics is Merely the Recursion of Possibilities?

Physics, as we have inherited it, is a set of magnificent local dialects speaking past each other. Fermat tells us how light navigates. Hamilton tells us how matter navigates. Boltzmann tells us how heat navigates. Schrödinger tells us how amplitudes navigate. Einstein tells us how geometry navigates. None of these dia...

Project TALOS: Tactical Agentic Literature Orchestration System

Project TALOS is an autonomous research intelligence platform powered by deep reinforcement learning (DDDQN), multi-tier LLM orchestration, and the Grey Wolf Optimizer (GWO). It conducts end-to-end scientific literature discovery and evaluation across 16 academic APIs.

RLTG: Teacher-Guided, Hierarchical Multi-Reward Reinforcement Learning for Test Generation

The Limits of Language Are the Limits of Superintelligence: Why Large Language Models Can Traverse but Not Expand the Space of the Thinkable

Preprint · Version 1 · September 2026 · Not peer reviewed If the limits of language are the limits of the thinkable, then the possibility of linguistic superintelligence depends on whether a system can expand its own language. This paper argues that large language models (LLMs) cannot do so in a closed regime. We intro...

Protocol: WorkoutCPP - a pilot series of N-of-1 trials evaluating RL-generated adaptive exercise recommendations for pelvic pain management

Introduction: Chronic pelvic pain disorders (CPPDs) affect up to one in four reproductive-age women and are characterized by fluctuating, heterogeneous symptoms that complicate engagement in regular physical exercise. Standard programs rarely adjust to daily symptom variability. WorkoutCPP is a pilot series of N-of-1 t...

P300-CE as a Neural Indicator of Decision-Making Style and General Susceptibility to Behavioral Addiction

A preregistered, large-sample individual-differences study (N = 200 healthy adults) testing whether P300-CE — a newly discovered, large and sustained event-related brain response to critical gaming events — is a stable neural marker of behavioural-addiction vulnerability and exploration–exploitation decision style, and...