reinforcement learning

Composite resilient control for the USV system against unknown multiplicative sensor FDI attacks: An adaptive deep reinforcement learning approach

Study record and reproduction code for a survey of evaluation design and disclosure requirements in reinforcement learning-based route guidance

Reproduction material for the survey "Study-Area Boundaries in Reinforcement Learning-Based Route Guidance: A Survey of Evaluation Design and Disclosure Requirements" by Donghoun Lee. The package holds the study record of the 93 reviewed studies, one row per study with the sentence of the research article behind each r...

Deep Reinforcement Learning-Based Autonomous Machining System

The dataset contains the raw data for all figures, tables, and supplementary materials of the paper.

Causal reinforcement learning for personalized adaptive interventions in mild cognitive impairment

Implementation of the Discovery Learning Model Assisted by Wordwall Games Media in History Learning

This study examines the planning and implementation of the Discovery Learning model assisted by Wordwall Games media in history learning and identifies the obstacles encountered during its implementation in class XI F1 of SMA Negeri 1 Sungai Rumbai. The study used a descriptive qualitative approach. The research inform...

Exercises in Mathematical Foundations for Reinforcement Learning: A Companion Workbook

Reading a complete mathematical proof and constructing one are different skills. This workbook develops the second through structured practice with the mathematical foundations used in reinforcement learning. The volume contains 93 exercises aligned with Chapters 2–17 of Mathematical Foundations for Reinforcement Learn...

Can Cooperative Routing Mitigate System-Level Inefficiency in Road Networks?

Traffic congestion in urban road networks represents a fundamental coordination failure, where the aggregate behavior of self-interested agents results in a high “Price of Anarchy” that compromises system-wide efficiency. In decentralized settings, agents typically maximize local utility without accounting for the cong...

AI-Guided Multi-Objective Engineering of Glucoamylase Enables Acidification-Free Starch Saccharification

An artificial intelligence-guided strategy to simultaneously improve the thermostability, pH tolerance, and catalytic activity of glucoamylase from Penicillium oxalicum (PoGA) and folding energy guided recombination to achieve simultaneous multi property optimization is developed.

Convergence and Divergence: Forces Shaping Marmoset Vocal and Social Interactions

Human language hinges on a remarkable capacity for vocal production learning, yet the evolutionary origins of this ability remain poorly understood. This thesis explores the idea that increasing cooperation and social interdependence played a major role in the evolution of vocal flexibility in the hominin lineage. To i...

RL-ABC: Reinforcement learning for accelerator beamline control

Particle accelerator beamline optimization is a high-dimensional control problem traditionally requiring significant expert intervention. We present RLABC (Reinforcement Learning for Accelerator Beamline Control), an open-source Python framework that automatically transforms standard Elegant beamline configurations int...

GreenWaveTransformer: A Lightweight Forecast-Driven Control Framework Toward Sustainable Data Center Management

Cloud computing continues to consume increasing amounts of energy, adding to operating costs and making sustainability and service reliability harder to maintain. Resource management, however, is still largely reactive in many systems: decisions are made after workload or renewable-energy conditions have already change...

RL-ABC: Reinforcement learning for accelerator beamline control

Particle accelerator beamline optimization is a high-dimensional control problem traditionally requiring significant expert intervention. We present RLABC (Reinforcement Learning for Accelerator Beamline Control), an open-source Python framework that automatically transforms standard Elegant beamline configurations int...