Copertina

Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zheng, Chengqi, Yin, Haiyan, Chen, Jianda, Ng, Terence, Ong, Yew-Soon, Tsang, Ivor
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming
di: Zheng, Chengqi, et al.
Pubblicazione: (2025)

Dual Action Policy for Robust Sim-to-Real Reinforcement Learning
di: Terence, Ng Wen Zheng, et al.
Pubblicazione: (2024)

Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
di: Tan, Kim Yong, et al.
Pubblicazione: (2026)

Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
di: Wang, Xuanqian, et al.
Pubblicazione: (2024)

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
di: Tan, Kim Yong, et al.
Pubblicazione: (2025)

Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
di: Tan, Kim Yong, et al.
Pubblicazione: (2025)

Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation
di: Lyu, Yueming, et al.
Pubblicazione: (2024)

Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
di: He, Xin, et al.
Pubblicazione: (2025)

Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals
di: Chen, Cheng, et al.
Pubblicazione: (2025)

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
di: Xu, Guowei, et al.
Pubblicazione: (2023)

Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners
di: Ng, Wen Zheng Terence, et al.
Pubblicazione: (2024)

State Chrono Representation for Enhancing Generalization in Reinforcement Learning
di: Chen, Jianda, et al.
Pubblicazione: (2024)

Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
di: Zhu, Jiawen, et al.
Pubblicazione: (2024)

Off-dynamics Conditional Diffusion Planners
di: Ng, Wen Zheng Terence, et al.
Pubblicazione: (2024)

RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model Merging
di: He, Xin, et al.
Pubblicazione: (2025)

Policy Dispersion in Non-Markovian Environment
di: Qu, Bohao, et al.
Pubblicazione: (2023)

Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges
di: Zheng, Zubin, et al.
Pubblicazione: (2024)

ExpertFlow: Efficient Mixture-of-Experts Inference via Predictive Expert Caching and Token Scheduling
di: He, Xin, et al.
Pubblicazione: (2024)

LLM Agents Make Collective Belief Dynamics Programmable: Challenges and Research Directions
di: He, Xin, et al.
Pubblicazione: (2026)

Multi-Task Learning with Multi-Task Optimization
di: Bai, Lu, et al.
Pubblicazione: (2024)

A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
di: Wei, Zhao, et al.
Pubblicazione: (2025)

Pix2Fact: When Vision Is Not Enough -- Benchmarking Fine-Grained VQA with Web Verification on High-Resolution Real-World Scenes
di: Jiang, Yifan, et al.
Pubblicazione: (2026)

Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models
di: Choong, Han Xiang, et al.
Pubblicazione: (2022)

Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners
di: Ng, Wen Zheng Terence, et al.
Pubblicazione: (2025)

Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
di: Wan, Zhenglin, et al.
Pubblicazione: (2024)

A Simple Yet Effective Approach for Diversified Session-Based Recommendation
di: Yin, Qing, et al.
Pubblicazione: (2024)

Co-Learning Bayesian Optimization
di: Guo, Zhendong, et al.
Pubblicazione: (2025)

Possibilistic Predictive Uncertainty for Deep Learning
di: Ni, Yao, et al.
Pubblicazione: (2026)

Automated Large-scale CVRP Solver Design via LLM-assisted Flexible MCTS
di: Guo, Tong, et al.
Pubblicazione: (2026)

EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics
di: Xu, Meng, et al.
Pubblicazione: (2025)

Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
di: Liu, Jiao, et al.
Pubblicazione: (2023)

Finding Sets of Pareto Sets in Real-World Scenarios -- A Multitask Multiobjective Perspective
di: Liu, Jiao, et al.
Pubblicazione: (2026)

Quality Diversity Genetic Programming for Learning Scheduling Heuristics
di: Xu, Meng, et al.
Pubblicazione: (2025)

FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF
di: Fan, Flint Xiaofeng, et al.
Pubblicazione: (2024)

Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
di: Jiang, Xia, et al.
Pubblicazione: (2026)

Evolutionary Computation as Natural Generative AI
di: Shi, Yaxin, et al.
Pubblicazione: (2025)

Road Network Representation Learning with the Third Law of Geography
di: Zhou, Haicang, et al.
Pubblicazione: (2024)

Agentic Spatio-Temporal Grounding via Collaborative Reasoning
di: Zhao, Heng, et al.
Pubblicazione: (2026)

The Digital Ecosystem of Beliefs: does evolution favour AI over humans?
di: Bossens, David M., et al.
Pubblicazione: (2024)

Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
di: Cao, Xiaofeng, et al.
Pubblicazione: (2025)