reinforcement learning

Temporal task graph-based multi-agent reinforcement learning for efficient human-robot collaborative assembly planning

Field-validated climate-resilient HVAC control for mixed-use buildings in a hot-arid region

Buildings in desert cities are difficult to operate efficiently because heat waves and airborne dust increase cooling demand, alter short-term thermal behavior, and reduce HVAC efficiency. This study develops and field-validates an adaptive control framework for mixed residential and commercial buildings in a hot-arid...

Distance-Aware Inverse Reinforcement Learning Dataset for Robotic Grasping

This dataset contains state-action observations collected from a low-cost robotic manipulator during expert-guided demonstrations for robotic grasping. Each observation records four joint measurements, the scanning-servo angle of the time-of-flight (ToF) distance sensor, the measured distance between the robot and the...

Energy-aware hybrid artificial bee colony and reinforcement learning for multi-objective task scheduling in green cloud–fog industrial IoT systems

Efficient task scheduling in Cloud–Fog computing environments remains a critical challenge in Industrial Internet of Things (IIoT) systems due to the conflicting requirements of energy efficiency, latency reduction, and Quality of Service (QoS) assurance. This paper proposes an Energy-Aware Improved Artificial Bee Colo...

Normative Profiles in Reinforcement Learning

Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-ultrasound Prostate Cancer Detection

Contract-Based Compositional Shielding for Safe Multi-agent Reinforcement Learning

MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation

Supplementary Material: Motion Capture Recordings of Multi-Player Autonomous Racing

Motion capture recordings of autonomous quadrotor races comparing a multi-agent reinforcement learning (MARL) policy trained with league-play against a human expert pilot. See README.md for more details.

CleanSurvival: automated data preprocessing for time-to-event models using reinforcement learning

Abstract Background Data preprocessing is often paid little attention in machine learning, despite its potentially significant impact on model performance. While automated machine learning pipelines are starting to recognise and integrate data preprocessing into their solutions for classification and regression tasks,...

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.

RADIANT-PET: Reasoning-Augmented PET/CT Lesion Segmentation with Large Language Models and Reinforcement Learning