Towards Low-Gravity Planetary Exploration using Reinforcement Learning for Walking, Jumping, and In-flight Attitude Control - 惯性聚合

推荐订阅源

Help Net Security

Future of Privacy Forum

The GitHub Blog

博客园 - 叶小钗

阮一峰的网络日志

Kaspersky official blog

Google Developers Blog

freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More

Privacy International News Feed

Cyber Attacks, Cyber Crime and Cyber Security

News | PayPal Newsroom

Schneier on Security

Microsoft Azure Blog

The Hacker News

Stack Overflow Blog

Security Latest

Microsoft Research Blog - Microsoft Research

Google Online Security Blog

博客园_首页

CXSECURITY Database RSS Feed - CXSecurity.com

Google DeepMind News

Y Combinator Blog

The Cloudflare Blog

Microsoft Security Blog

Cisco Talos Blog

钛媒体：引领未来商业与生活新知

Troy Hunt's Blog

Fox-IT International blog

Security @ Cisco Blogs

博客园 - 司徒正美

cs.CV updates on arXiv.org

Comments on: Blog

Threat Intelligence Blog | Flashpoint

LINUX DO - 最新话题

Tailwind CSS Blog

cs updates on arXiv.org

End-to-End Intracortical Speech Decoding from Neural Activity Position: AI for Science Should Treat Measurement-to-Dataset Pipelines as Inference Components From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression Word Class Representations Spontaneously Emerge from Successor Representations Trained on Natural Language The Model Is Not the Product: A Dual-Pillar Architecture for Local-First Psychological Coaching Jailbreak to Protect: Buffering and Reinforcing via Temporary Jailbreaking for Safe Fine-Tuning in Large Language Models Phonetic Modeling of Dialectal Variation in Vietnamese Speech LLMTabBench: Evaluating LLMs on Binary Tabular Classification From Zero to Few Shots Treatment Effect Estimation with Differentiated Networked Effect on Graph Data Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems A Reinforcement Learning Inspired Latent Yield Based Adaptive Algorithm Switching Mechanism An Effective-Rank Audit of Alignment-Induced Activation Shifts: Confound Control, Constructive Calibration, and Limits Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions Measuring the Depth of LLM Unlearning via Activation Patching Distinguishing Right from Wrong in Debates: Attribution Analysis of Chinese Harmful Memes CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning The Normalized Maximum Likelihood for Regular Non-Smooth Models: Measure-Theoretic Foundations and Geometric Sampling Momentum Streams for Optimizer-Inspired Transformers Omissive Bias in Religious Representation: Benchmarking LLM Answers to Everyday Ethical Decision-making Grammatically-Guided Sparse Attention for Efficient and Interpretable Transformers GlobalDentBench: A Multinational Benchmark for Evaluating LLM Clinical Reasoning in Dentistry with Expert Calibration The Multilingual Curse at the Retrieval Layer: Evidence from Amharic PILOT: Policy-Informed Learned Optimization for Adaptive Deep Network Training Poisoning the Watchtower: Prompt Injection Attacks Against LLM-Augmented Security Operations Through Adversarial Log Content AI-Driven Adaptive Adversaries and the Erosion of Cryptographic Trust in Public Key Systems Φ-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation Gaussian Rank-Based Neighborhood Degree for Graph Neural Networks in Image Classification SliceWorld: A Predictive and Controllable World-State Model for CT Report Generation Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs of Ukrainian Court Decisions Discovering Lexical Gaps Using Embeddings from Multilingual LLMs CSP-Atlas: Concept-Specific Neural Circuits in a Sparse Python Transformer Fourier Feature Pyramids for Physics-Informed Neural Networks Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence WhenLoss: Diagnosing Write and Retrieval Bottlenecks in Long-Context Memory Systems Side-by-side Comparison Amplifies Dialect Bias in Language Models Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping ChaosBench-Logic v2: Evaluating LLM Logical Reasoning over Dynamical Systems at Scale ChainLearn: A Blockchain-Based Capacity-Aware Framework for Federated Ensemble Learning ECHO: Terminal Agents Learn World Models for Free Zeroth-Order Nonconvex Nonsmooth Optimization with Heavy-Tailed Noise Synheart Capacity: A Theory-Driven Physiological Representation of Cognitive Capacity Dynamics from Wearable Signals ChainzRule: Sample-Efficient, Robust Deep Learning Across Tabular, NLP, and Vision Tasks How Much Structure Do LLMs Need? Evaluating LLMs for Bibliometric Cluster Description Rubato: Transcribing Piano Music with Timestamps Deep ZakaiJ: Structured Filtering for Jump-Diffusion Time Series Forecasting Hypothesis Generation and Inductive Inference in Children and Language Models Concept Drift Adaptation Using Self-Supervised and Reinforcement Learning In Android Malware Detection Learning to Reason Efficiently with A* Post-Training AgentFugue: Agent Scaling for Long-Horizon Tasks through Collective Reasoning LAPLEX: The FFT of Learnable Laplace Kernels Vision-Guided Outdoor Flight and Obstacle Evasion via Reinforcement Learning Smoother Action Chunking Flow Policy via Prior-Corrected Orthogonal Trust-Region Guidance Enhancing Reliability in LLM-Based Secure Code Generation SPACE: Unifying Symmetric and Asymmetric Routing Problems for Generalist Neural Solver Understanding the Impact of Geometric Foundation Models on Vision-Language-Action Models Steering Beyond the Support: Adversarial Training on Unsupervised Jailbroken Activation Simulation Asymmetric Adaptation-based Real-time Fault Diagnosis Under Transitional Operating Conditions An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods Polymorphism Is Rotation: Operational Mechanistic Interpretability from a Two-Layer Transformer to Pythia-70m ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap Unveil: Unified Visual-Textual Integration and Distillation for Multi-modal Document Retrieval Decompose-and-Refine: Structured Legal Question Answering with Parametric Retrieval SEAL: Synergistic Co-Evolution of Agents and Learning Environments DRInQ: Evaluating Conversational Implicature with Controlled Context Variation HiMed: Incentivizing Hindi Reasoning in Medical LLMs Guarded Repair for Harm-Aware Post-hoc Replacement of LLM Mathematical Reasoning AstroMind: A High-Fidelity Benchmark for Spacecraft Behavior Reasoning Based on Large Language Models PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets Faithfulness as Information Flow: Evaluating and Training Faithful Chain-of-Thought Reasoning A lift for input-convex neural network training Know You Before You Speak: User-State Modeling for LLM Personalization in Multi-Turn Conversation Generating Legal Commentaries from Case Databases via Retrieval, Clustering, and Generation An Interactive Paradigm for Deep Research Interdomain Attention: Beyond Token-Level Key-Value Memory LLMs Show No Signs Of Individuated Metacognition Refined Analysis of Entropy-Regularized Actor-Critic AvAtar: Learning to Align via Active Optimal Transport Assessing the Operational Viability of Foundation Models for Time Series Forecasting Evolving Robustness--Exploration Trade-off in Online Reinforcement Learning via Quantile Bayesian Risk MDPs Private Adaptive Covariance Estimation via Gaussian Graphical Models Representation-Guided Discrete Molecular Graph Retrosynthesis Batch Normalization Amplifies Memorization and Privacy Risks A Unified Python Framework for Direct PPO-based Control of AHUs with Economizer Logic and CO2-Constrained Ventilation Balancing Fairness, Privacy, and Accuracy: A Multitask Adversarial Framework for Centralized Data-Driven Systems MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding Lake Detection and Water Quality Estimation in Sentinel-2 Data CAffNet: Hard Constraint-Affine Neural Networks Generative OOD-regularized Model-based Policy Optimization TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models Improving Labeling Consistency with Detailed Constitutional Definitions and AI-Driven Evaluation RL with Learnable Textual Feedback: A Bilevel Approach Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion Beyond Fixed Points: Superpolynomial Capacity of Asymmetric Hopfield Networks Rethinking Federated Unlearning via the Lens of Memorization SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors What Are We Actually Decoding? Source Attribution for Non-Invasive Brain-to-Language Retrieval

Towards Low-Gravity Planetary Exploration using Reinforcement Learning for Walking, Jumping, and In-flight Attitude Control

J{\o}rgen An · 2026-05-26 · via cs updates on arXiv.org

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。原文来自 — 版权归原作者所有。