Cover Image

Bridging the Gap Between Theoretical and Practical Reinforcement Learning in Undergraduate Education

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Atif, Muhammad Ahmed, Shaikh, Mohammad Shahid
Format:	Preprint
Published:	2025
Subjects:	Computers and Society 68T05 K.3.2; I.2.8
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stimulating Higher Order Thinking in Mechatronics by Comparing PID and Fuzzy Control
by: Lowrance, Christopher J., et al.
Published: (2026)

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
by: Zhang, Zhi, et al.
Published: (2024)

Optimistic Feasible Search for Closed-Loop Fair Threshold Decision-Making
by: Du, Wenzhang
Published: (2025)

The Current and Future Perspectives of Zinc Oxide Nanoparticles in the Treatment of Diabetes Mellitus
by: Yousaf, Iqra
Published: (2024)

Navigational Thinking as an Emerging Paradigm of Computer Science in the Age of Generative AI
by: Levin, Ilya
Published: (2026)

Integrating Generative AI in Cybersecurity Education: Case Study Insights on Pedagogical Strategies, Critical Thinking, and Responsible AI Use
by: Elkhodr, Mahmoud, et al.
Published: (2025)

Detecting AI-Assisted Cheating in Online Exams through Behavior Analytics
by: Akçapınar, Gökhan
Published: (2025)

Mitigating Catastrophic Forgetting in Streaming Generative and Predictive Learning via Stateful Replay
by: Du, Wenzhang
Published: (2025)

MSMixer: Learned Multi-Scale Temporal Mixing with Complementary Linear Shortcut for Long-Term Time Series Forecasting
by: Cherif, Ahmed
Published: (2026)

Chain-Oriented Objective Logic with Neural Network Feedback Control and Cascade Filtering for Dynamic Multi-DSL Regulation
by: Han, Jipeng
Published: (2024)

The two clocks and the innovation window: When and how generative models learn rules
by: Wang, Binxu, et al.
Published: (2026)

A Comparison Between Decision Transformers and Traditional Offline Reinforcement Learning Algorithms
by: Caunhye, Ali Murtaza, et al.
Published: (2025)

AI Education in Higher Education: A Taxonomy for Curriculum Reform and the Mission of Knowledge
by: Zheng, Tian
Published: (2025)

Automated but Atrophied? Student Over-Reliance vs Expert Augmentation of AI in Learning and Cybersecurity
by: Khan, Koffka
Published: (2025)

Modeling and Visualization Reasoning for Stakeholders in Education and Industry Integration Systems: Research on Structured Synthetic Dialogue Data Generation Based on NIST Standards
by: Meng, Wei
Published: (2025)

Modeling and Controlling Deployment Reliability under Temporal Distribution Shift
by: Rahman, Naimur, et al.
Published: (2026)

An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
by: Saini, Saurabh, et al.
Published: (2026)

Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF
by: Arabov, Mullosharaf K.
Published: (2026)

SafeRL-Lite: A Lightweight, Explainable, and Constrained Reinforcement Learning Library
by: Mishra, Satyam, et al.
Published: (2025)

Connectivity-Aware Representations for Constrained Motion Planning via Multi-Scale Contrastive Learning
by: Jeon, Suhyun, et al.
Published: (2026)

Active Causal Experimentalist (ACE): Learning Intervention Strategies via Direct Preference Optimization
by: Cooper, Patrick, et al.
Published: (2026)

XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML
by: Estevanell-Valladares, Ernesto L., et al.
Published: (2025)

Proving Olympiad Algebraic Inequalities without Human Demonstrations
by: Wei, Chenrui, et al.
Published: (2024)

Evolving machine learning workflows through interactive AutoML
by: Barbudo, Rafael, et al.
Published: (2024)

Coupling Tensor Trains with Graph of Convex Sets: Effective Compression, Exploration, and Planning in the C-Space
by: Reinerth, Gerhard, et al.
Published: (2026)

Understanding the Nature of Generative AI as Threshold Logic in High-Dimensional Space
by: Levin, Ilya
Published: (2026)

Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
by: Tiwari, Dhruv
Published: (2025)

Task Memory Engine (TME): Enhancing State Awareness for Multi-Step LLM Agent Tasks
by: Ye, Ye
Published: (2025)

LightPFP: A Lightweight Route to Ab Initio Accuracy at Scale
by: Li, Wenwen, et al.
Published: (2025)

Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs
by: Gulati, Aryan, et al.
Published: (2025)

Simulated Human Learning in a Dynamic, Partially-Observed, Time-Series Environment
by: Jiang, Jeffrey, et al.
Published: (2025)

AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025)

Adaptive Minds: Empowering Agents with LoRA-as-Tools
by: Shekar, Pavan C, et al.
Published: (2025)

Prediction-Based Markov Violation Scores for Detecting Non-Markovian Observations in Reinforcement Learning
by: Mysore, Naveen
Published: (2026)

Mining Citywide Dengue Spread Patterns in Singapore Through Hotspot Dynamics from Open Web Data
by: Huang, Liping, et al.
Published: (2026)

Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle Approach
by: Bajaj, Chandrajit, et al.
Published: (2022)

From Imitation to Interaction: Mastering Game of Schnapsen with Shallow Reinforcement Learning
by: Klačan, Ján, et al.
Published: (2026)

Human Supervision as an Information Bottleneck: A Unified Theory of Error Floors in Human-Guided Learning
by: Dominguez, Alejandro Rodriguez
Published: (2026)

Learning Adaptive Neural Teleoperation for Humanoid Robots: From Inverse Kinematics to End-to-End Control
by: Atamuradov, Sanjar
Published: (2025)

Strategizing Equitable Transit Evacuations: A Data-Driven Reinforcement Learning Approach
by: Tang, Fang, et al.
Published: (2024)