reinforcement learning

Evaluation of physical training effectiveness for college students based on deep reinforcement learning

The physical training of college students can be made more productive with the help of adaptive approaches. Deep reinforcement learning (DRL) offers training policies that are more customized based on performance and physiological measurements and are superior to fixed schedules. The first goal is to make a smart syste...

Imbalance Labs Microstructure Sample: 7-Day Level-2 Order Book Snapshots for 24 Crypto Perpetual Futures (5-Minute, Depth-10)

This dataset provides a free 7-day sample of time-synchronised Level-2 (L2) limitorder book snapshots for 24 cryptocurrency perpetual futures markets, resampled toa fixed 5-minute grid with no clock drift. CONTENT- 24 assets: ADA, APT, ARB, ATOM, AVAX, BNB, BTC, DOGE, DOT, ETC, ETH, FIL, INJ, LINK, LTC, NEAR, OP, SEI,...

Temporally Composable Action Tokenization for Reinforcement Learning of Vision-Language-Action

*"GATE Data Science and Artificial Intelligence (DA) — Previous Year Papers with Solutions: A Comprehensive Guide to GATE 2024 and 2025 Question Papers, Detailed Solutions, Syllabus Overview, and Preparation Strategies for Aspirants"**

### Abbreviated Combined Title **"GATE Data Science and AI (DA) — Previous Year Papers with Solutions: A Comprehensive Guide for Aspirants"** ### Full Title with Subtitle Format **"GATE Data Science and Artificial Intelligence (DA) — Previous Year Papers with Solutions"** *Subtitle:* "A Comprehensive Guide to GATE 2024...

Intelligent Systems for Space Conditioning and Shading in Buildings: A Systematic Review of Artificial Intelligence Techniques and Their Energy Impact

Artificial intelligence (AI) is increasingly applied to heating, ventilation, and air-conditioning (HVAC) control, whereas solar-radiation management still relies mainly on reactive strategies; whether AI capabilities validated in HVAC could be transferred to solar control has not been systematically assessed. This rev...

Hierarchical dual-agent reinforcement learning with hybrid LFSR and meta-learning for adaptive fault-tolerant SRAM repair

Enhanced resource allocation in elastic optical networks using VAE-GNN and deep reinforcement learning

MARGoS: A Configuration-Driven Platform for Reproducible MARL Experiments in ARGoS

Tinashe2023/DecTwin-IPPO: DecTwin-PPO v1.0.0 — Code and data for "Fault-Aware Industrial Digital Twins via Cooperative Multi-Agent Reinforcement Learning" (EAAI submission)

DecTwin-PPO v1.0.0 Reference implementation and evaluation data for the paper: "Fault-Aware Industrial Digital Twins via Cooperative Multi-Agent Reinforcement Learning: A Decentralized Partially Observable Markov Decision Process Architecture with Proximal Policy Optimization and Neighborhood-Aware Temporal Coordinatio...

From monolingual virtual exchange to AI-supported multilingualism: a critical perspective

Virtual Exchange (VE) has become a key approach in higher education for fostering intercultural competence through online collaboration. However, despite its inclusive framing, many VE initiatives continue to rely on English as a lingua franca or other shared-language arrangements, which may reproduce linguistic hierar...

PENANAMAN NILAI-NILAI MODERASI BERAGAMA DENGAN METODE INSERSI PADA MATA PELAJARAN AQIDAH AKHLAQ (STUDI KASUS DI MA SAINS QUR’AN ARRIDWAN SUKOREJO BOJONEGORO)

The emergence of radicalism and extreme fanaticism in the globalization era necessitates the reinforcement of wasathiyah character through contextually integrated religious education in madrasas. This qualitative field study employing a phenomenological approach aimed to describe the implementation of the insertion met...

Reinforcement learning-based strip allocation optimization for multi-UAV cooperative coverage

Efficient allocation of strips and flight paths for multiple unmanned aerial vehicles (UAVs) carrying out cooperative area coverage is a basic issue in aerial robotics, especially when fixed-wing kinematic constraints and multi-pass reentry coordination need to be considered together. This paper introduces a reinforcem...