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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "Distilling Deep Reinforce" (30 stories)

Distilling Deep Reinforcement Learning into Interpretable Fuzzy Rules: An Explainable AI Framework

Lead StoryThe Association for the Advancement of Artificial Intelligencetech

May 18

Distilling Deep Reinforcement Learning into Interpretable Fuzzy Rules: An Explainable AI Framework

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTE4wUmlYRUF2TUZfSWZEV0NjYTJYMThUZkdtZ3pRS1hlVGc5Ym5DclF0NVhpVV9WV3ZyWU93ZFJsTzNfMGwyZU42U29hakV2REI1bUFrMFZISlBvVDJwV29hUmEzUFVmNE5z?oc=5" target="_blank">Distilling Deep Reinforcement Learning into Interpretable Fuzzy Rules: An Explainable AI Framework</a>&nbsp;&nbsp;The Association for the Advancement of Artificial Intelligence

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Search Results for "Distilling Deep Reinforce"

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Federated deep reinforcement learning for privacy-preserving offloading in vehicular edge computing

Naturemarkets

Jun 10

Federated deep reinforcement learning for privacy-preserving offloading in vehicular edge computing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5fd3kwZWxYczU1aG44NWc5dEVmemxqMlpFOTE4TWpPYXpPeFpVakx4TkhWS3JfMFltSWswb19tck91X1ZTWTZBTXA1cmprQ2U0QnE3ZE04eXlKSFZjZm1N?oc=5" target="_blank">Federated deep reinforcement learning for privacy-preserving offloading in vehicular edge computing</a>&nbsp;&nbsp;Nature

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Distilling Deep Reinforcement Learning into Interpretable Fuzzy Rules: An Explainable AI Framework

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Search Results for "Distilling Deep Reinforce"

Federated deep reinforcement learning for privacy-preserving offloading in vehicular edge computing

DMARS_WGO: a deep reinforcement-driven hybrid metaheuristic for intelligent adaptive optimization

Detecting and preventing distillation attacks

What is Knowledge distillation?

Exploring online and offline explainability in deep reinforcement learning for aircraft separation assurance

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks

Continual deep reinforcement learning with task-agnostic policy distillation

Vol. 40 No. 31: AAAI-26 Technical Tracks 31

MMU-STCNN-BDQ: a deep reinforcement learning framework for secure and energy-efficient beamforming in 6G mMIMO networks

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks

Future-aware blood glucose forecasting using knowledge distillation with transformer-based sequence-to-sequence models

Deep reinforcement learning with significant multiplications inference

Multi-modal data fusion and deep reinforcement learning for dynamic resource scheduling in intelligent manufacturing systems under variable market demand

Adaptive schedule deviation correction for complex information system projects: a graph neural network approach with knowledge distillation

Intelligent decision-making for mine ventilation systems based on graph neural network and deep reinforcement learning fusion

High-dimensional continuous action space control via trust region optimized deep reinforcement learning

Deep reinforcement learning framework for joint optimization of multi-RAT UAV location and user association in heterogeneous networks

Federated deep reinforcement learning based trajectory design for UAV-assisted networks with mobile ground devices

Multi-objective optimization for dynamic logistics scheduling based on hierarchical deep reinforcement learning

Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay

A multi-agent reinforcement learning based approach for automatic filter pruning

Deep Thought Alignment: Trajectory-Level Latent Distillation for Video Reasoning

A humanoid control strategy based on deep reinforcement learning for enhanced comfort in lower limb rehabilitation robots

Development and validation of a deep reinforcement learning algorithm for auto-delineation of organs at risk in cervical cancer radiotherapy

Deep reinforcement learning model for Multi-Ship collision avoidance decision making design implementation and performance analysis

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning

Pixel level deep reinforcement learning for accurate and robust medical image segmentation

Mitigating distributed denial of service-based cyberattack in federated computing framework using deep reinforcement learning with frilled lizard algorithm