:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, He, Sun, Ying, Xiong, Hui
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence 68T05 I.2.6; I.2.8
Accesso online:	https://arxiv.org/abs/2603.14245
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

Foundation Models as World Models: A Foundational Study in Text-Based GridWorlds
di: Sasso, Remo, et al.
Pubblicazione: (2025)

Exploration with Foundation Models: Capabilities, Limitations, and Hybrid Approaches
di: Sasso, Remo, et al.
Pubblicazione: (2025)

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

ElasticFlow: One-Step Physics-Consistent Policy with Elastic Time Horizons for Language-Guided Manipulation
di: Chen, Kewei, et al.
Pubblicazione: (2026)

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

SALE-Based Offline Reinforcement Learning with Ensemble Q-Networks
di: Chun, Zheng
Pubblicazione: (2025)

STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery
di: Su, Jiarui, et al.
Pubblicazione: (2026)

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

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

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

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

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

The Mirror Loop: Recursive Non-Convergence in Generative Reasoning Systems
di: DeVilling, Bentley
Pubblicazione: (2025)

SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
di: Vincze, Mátyás, et al.
Pubblicazione: (2024)

Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments
di: Giannini, Federico, et al.
Pubblicazione: (2026)

FDQN: A Flexible Deep Q-Network Framework for Game Automation
di: Gujavarthy, Prabhath Reddy
Pubblicazione: (2024)

Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
di: Osman, Asim, et al.
Pubblicazione: (2026)

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

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

Diffusion-MPC in Discrete Domains: Feasibility Constraints, Horizon Effects, and Critic Alignment: Case study with Tetris
di: Wang, Haochuan Kevin
Pubblicazione: (2026)

STACHE: Local Black-Box Explanations for Reinforcement Learning Policies
di: Elashkin, Andrew, et al.
Pubblicazione: (2025)

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

Can a Bayesian Oracle Prevent Harm from an Agent?
di: Bengio, Yoshua, et al.
Pubblicazione: (2024)

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

Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation
di: Pachet, François, et al.
Pubblicazione: (2026)

On Divergence Measures for Training GFlowNets
di: da Silva, Tiago, et al.
Pubblicazione: (2024)

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

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
di: Yousaf, Iqra
Pubblicazione: (2024)

A Structural Threshold in Decision Capacity Governs Collapse in Self-Play Reinforcement Learning
di: Kujur, Arahan
Pubblicazione: (2026)

Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models
di: Fu, Tianyu, et al.
Pubblicazione: (2025)

Learning to Select Goals in Automated Planning with Deep-Q Learning
di: Núñez-Molina, Carlos, et al.
Pubblicazione: (2024)

Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
di: Pather, Kaviraj, et al.
Pubblicazione: (2025)

Efficient Contextual Preferential Bayesian Optimization with Historical Examples
di: Khan, Farha A., et al.
Pubblicazione: (2022)

ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning
di: Luijkx, Jelle, et al.
Pubblicazione: (2025)

Approaches to Semantic Textual Similarity in Slovak Language: From Algorithms to Transformers
di: Radosky, Lukas, et al.
Pubblicazione: (2026)

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward
di: Fang, Jiawei, et al.
Pubblicazione: (2025)

Maximizing Rollout Informativeness under a Fixed Budget: A Submodular View of Tree Search for Tool-Use Agentic Reinforcement Learning
di: Hu, Yuelin, et al.
Pubblicazione: (2026)