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Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

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127,664Total entries
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Knowledge catalogue

Search: “agents”

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18,727 results
Safety

World State Generator

DGX agent

arXiv:2609.24744v1 Announce Type: new Abstract: Language agents solve complex tasks through plans and actions. A single step the world refuses puts the goal out of reach, and what the agent does next

safetyarxiv-cs-ai
23 Sept 2026
Agents

Active Spatial Inspection for Effective and Efficient Embodied Exploration

DGX agent

arXiv:2609.22385v1 Announce Type: cross Abstract: Achieving high task success and efficiency remains a central pursuit in embodied exploration. Existing frameworks typically guide agent behavior throu

DGX agent

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agentsarxiv-cs-cv
22 Sept 2026
Agents

FRAMES: Failure Recovery And Monitoring of Embodied Skills for Humanoid Loco-Manipulation

DGX agent

arXiv:2609.22538v1 Announce Type: new Abstract: Large language model (LLM) planners can decompose natural-language instructions and select reusable robot skills, but choosing the correct skill does no

agentsarxiv-cs-ro
22 Sept 2026
Model Releases

SocioVerse2: A Longitudinal Dynamic Social Simulation Framework under a Human-AI Co-evolutionary Paradigm

DGX agent

arXiv:2609.24911v1 Announce Type: new Abstract: Social simulation offers the social sciences an experimental instrument that the real world cannot supply, and generative agents have transformed it by

model-releasesarxiv-cs-cl
22 Sept 2026
Agents

Towards Full Pipeline FP8 Reinforcement Learning for LLMs

DGX agent

arXiv:2609.22870v1 Announce Type: new Abstract: Reinforcement learning (RL) has become a key technique for improving the reasoning and agentic abilities of large language models (LLMs). Although FP8 q

agentsarxiv-cs-lg
22 Sept 2026
Agents

SWE-Proof: Can Language Models Resolve Real-World Issues with Machine-Checked Proofs?

DGX agent

arXiv:2609.21190v1 Announce Type: cross Abstract: Ensuring the correctness of LLM-generated code is a core challenge for modern software engineering. Benchmarks for agentic code generation check corre

agentsarxiv-cs-ai
21 Sept 2026
Agents

VeriFuse: Bounded Vision-Language Arbitration and Reason-Guided Refinement for Cooperative 3D Perception

DGX agent

arXiv:2609.21323v1 Announce Type: new Abstract: Vision-language models (VLMs) have demonstrated strong scene understanding and semantic judgment across diverse tasks, but their appropriate role in coo

agentsarxiv-cs-cv
21 Sept 2026
Agents

Continual Enterprise World Model Discovery in Dynamic Systems

DGX agent

arXiv:2609.19551v1 Announce Type: new Abstract: In an enterprise system, updating one field can set another, create a record, or start an approval. These effects are produced by business rules that ar

agentsarxiv-cs-ai
18 Sept 2026
Tutorials

Robust Federated Q-Learning with Almost No Communication

DGX agent

arXiv:2609.20174v1 Announce Type: new Abstract: We consider a federated reinforcement learning setting involving M agents, all of whom interact with a common Markov Decision Process (MDP). The agents

tutorialsarxiv-cs-lg
18 Sept 2026
Agents

Composite-Gradient Learning for Shared Control Authority Between Deep Reinforcement Learning and Model Predictive Control

DGX agent

arXiv:2609.17697v1 Announce Type: new Abstract: Integrated deep reinforcement learning (DRL) and model predictive control (MPC) methods are increasingly used to control autonomous systems by combining

agentsarxiv-cs-lg
17 Sept 2026
Agents

LEAP: Learning Emergent Active Perception for Quadruped Navigation

DGX agent

arXiv:2609.17628v1 Announce Type: new Abstract: Active perception allows autonomous agents to select their viewpoints rather than passively process the viewpoints given to them, enabling them to targe

agentsarxiv-cs-ro
17 Sept 2026
Model Releases

Playing log(N)-Questions over Wikipedia Abstracts: Communication Efficiency Between Paired Frontier Models

DGX agent

arXiv:2609.19113v1 Announce Type: new Abstract: We evaluate six frontier language models on the two-agent log(N)-Questions game. A questioner sees N Wikipedia lead paragraphs and must identify a secre

model-releasesarxiv-cs-cl
17 Sept 2026
Agents

Exploring 2D backbone effects for indoor semantic occupancy prediction

DGX agent

arXiv:2609.17257v1 Announce Type: new Abstract: Semantic occupancy prediction gives an embodied agent a voxel-level account of where space is free, occupied, and semantically meaningful. In RGB-D pipe

agentsarxiv-cs-cv
16 Sept 2026
Agents

Mapping U.S. Federal AI Governance Against Sector Vulnerability

DGX agent

arXiv:2609.16260v1 Announce Type: cross Abstract: Artificial intelligence (AI) poses different levels of risk across sectors, but are these differences reflected in U.S. federal AI governance? To help

agentsarxiv-cs-ai
16 Sept 2026
Model Releases

Metacognitive Steering: Learning the Structure of Scientific Judgment

DGX agent

arXiv:2609.16245v1 Announce Type: new Abstract: Long-horizon scientific discovery requires agents to alternate between exploration, disciplined execution, and critical reassessment as evidence changes

model-releasesarxiv-cs-ai
16 Sept 2026
Safety

The MAL Simulator: Cyber Operations Simulation based on Attack & Defense Graphs

DGX agent

arXiv:2609.16563v1 Announce Type: cross Abstract: We have developed the MAL Simulator, a cyber operation simulator based on the Meta Attack Language (MAL). The MAL Simulator is intended for decision-d

safetyarxiv-cs-ai
16 Sept 2026
Agents

AnchorGUI: Asymmetric Memory for Dual-Scale Learning in GUI Navigation

DGX agent

arXiv:2609.15457v1 Announce Type: new Abstract: Vision-Language Models (VLMs) enable autonomous GUI navigation, but agents still struggle to process and learn from dense, continuous visual histories.

agentsarxiv-cs-cv
15 Sept 2026
Agents

Chance-Constrained Belief-Space Maneuver Planning for Autonomous Collision Avoidance Under Uncertainty

DGX agent

arXiv:2609.13428v1 Announce Type: cross Abstract: Increasing conjunction frequency in low Earth orbit places growing pressure on spacecraft operators to determine not only whether an encounter require

agentsarxiv-cs-ai
15 Sept 2026
Agents

Data Security in Large Language Models: Risks, Defense, and Directions

DGX agent

arXiv:2508.02312v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs), now a foundation in advancing natural language processing, power applications such as text generation, machine t

agentsarxiv-cs-ai
15 Sept 2026
Agents

Enabling Streaming User Transcription in Full-Duplex Speech-to-Speech Models

DGX agent

arXiv:2609.15759v1 Announce Type: new Abstract: Full-duplex speech-to-speech (S2S) models enable natural conversational AI by allowing simultaneous listening and speaking. However, these models typica

agentsarxiv-cs-cl
15 Sept 2026
Agents

GLAM: Training a latent world model over global spatiotemporal memory for active exploration and navigation

DGX agent

arXiv:2609.14561v1 Announce Type: new Abstract: Active exploration and semantic navigation require an embodied agent to build memory from partial observations, predict how the evolution of observed sp

agentsarxiv-cs-ro
15 Sept 2026
Safety

Homeostatic Continual Learning

DGX agent

arXiv:2609.13771v1 Announce Type: new Abstract: In this paper, I formulate a Continual Learning problem and propose a method named 'Homeostatic Continual Learning' that enables an AI agent to learn co

safetyarxiv-cs-ai
15 Sept 2026
Agents

MedSAM3: Delving into Segment Anything with Medical Concepts

DGX agent

arXiv:2511.19046v2 Announce Type: replace-cross Abstract: Medical image segmentation is fundamental for biomedical discovery. Existing methods lack generalizability and demand extensive, time-consumin

agentsarxiv-cs-ai
15 Sept 2026
Safety

Predictive audio representations for early detection and tracking of hidden dynamic objects

DGX agent

arXiv:2609.13595v1 Announce Type: cross Abstract: Predicting potential dangers is core to safety. Forecasting the presence of other traffic agents is core to danger prediction. Occluded traffic agents

safetyarxiv-cs-ai
15 Sept 2026
Agents

Sensory Precision Inference for Multimodal Arbitration under Uncertainty

DGX agent

arXiv:2609.15065v1 Announce Type: new Abstract: Autonomous agents operating on multisensory data cannot assume that all sensory modalities remain consistently informative. In real environments, sensor

agentsarxiv-cs-lg
15 Sept 2026
Model Releases

LLM-BabyBench: Can Language Models Plan in Worlds They Can Simulate?

DGX agent

arXiv:2505.12135v2 Announce Type: replace-cross Abstract: When an interactive benchmark reports a single success rate for a language-model agent, it is rarely clear what that number measures. A failur

model-releasesarxiv-cs-cl
14 Sept 2026
Agents

Beyond Static Guarantees: Measuring the Static-Pass Dynamic-Fail Gap in Security-Sensitive and LLM-Generated Python Code

DGX agent

arXiv:2609.10762v1 Announce Type: cross Abstract: Advances in large language models (LLMs) fuel the quest for scalable methods to assess the security of generated and security-sensitive software. Stat

agentsarxiv-cs-ai
12 Sept 2026
Model Releases

Certifying Lower Bounds for Risk-Sensitive Reinforcement Learning under Adversarial State Perturbations

DGX agent

arXiv:2609.10866v1 Announce Type: new Abstract: Reinforcement learning (RL) agents deployed in real-world environments are often vulnerable to adversarial perturbations in state observations, creating

model-releasesarxiv-cs-lg
11 Sept 2026
Model Releases

OpenDiscoveryTrace: Process Traces for Evaluating AI Scientist Workflows

DGX agent

arXiv:2609.09203v1 Announce Type: new Abstract: Existing benchmarks for autonomous AI scientists evaluate only final outputs---generated code, hypotheses, or papers---yet discard the reasoning process

model-releasesarxiv-cs-ai
11 Sept 2026
Agents

Smart Adaptive Computing Across the Continuum: LLMs in IoT-Edge-Cloud Resource Management

DGX agent

arXiv:2609.09348v1 Announce Type: cross Abstract: Managing resources across IoT, edge, and cloud layers calls for continuous, context-aware decisions under constraints that rarely stay fixed. Deep rei

agentsarxiv-cs-ai
11 Sept 2026
Agents

Valerant: An Automatic Navigable Game Map Generator via Action-Conditioned World Model Exploration

DGX agent

arXiv:2609.09418v1 Announce Type: new Abstract: World Action Models (WAMs) couple predictive world modeling with action generation, allowing anticipated future states to guide agent behavior. Although

agentsarxiv-cs-ai
11 Sept 2026
Agents

VikingRAG: Accurate and Token-efficient Retrieval-augmented Generation over Structured Documents

DGX agent

arXiv:2609.11390v1 Announce Type: cross Abstract: State-of-the-art retrieval-augmented generation (RAG) methods exploit document structures to acquire sufficient evidence, but often incur substantial

agentsarxiv-cs-cl
11 Sept 2026
Agents

A Computational Implementation of a Goal-Directed Theory of Affect

DGX agent

arXiv:2609.06654v1 Announce Type: new Abstract: Computational modeling of emotion has long faced a tension between descriptive, 'snapshot-based' appraisal models and granular, signal-driven architectu

agentsarxiv-cs-ai
10 Sept 2026
Safety

Belief-State Engine: Augmenting LLMs for Principled Planning Under Partial Observability

DGX agent

arXiv:2609.10036v1 Announce Type: cross Abstract: Large language model agents produce fluent action sequences across a wide range of tasks, yet they fail in characteristic ways once the environment be

safetyarxiv-cs-lg
10 Sept 2026
Agents

Compiling VGDL into Causal Models

DGX agent

arXiv:2609.05459v1 Announce Type: new Abstract: Reinforcement learning and large language models often struggle to accurately capture the causal mechanics of game environments. Standard reinforcement

agentsarxiv-cs-ai
10 Sept 2026
Model Releases

Feyospace-v1: How the Cyber Mercury Seven Trained Frontier Cyber Models

DGX agent

arXiv:2609.08418v1 Announce Type: new Abstract: Training capable cyber agents is often treated primarily as a problem of model scale, yet open-weight post-training is constrained more directly by the

model-releasesarxiv-cs-ai
10 Sept 2026
Agents

Online Inverse Integer Linear Optimization via Small-Gradient Skipping: Constant Regret and Finite Mistakes

DGX agent

arXiv:2609.09809v1 Announce Type: new Abstract: In online inverse linear optimization, the learner predicts a weight at each round, observes the optimal action of the agent, and updates its prediction

agentsarxiv-cs-lg
10 Sept 2026
Agents

Safe Learning Under Irreversible Dynamics via Asking for Help

DGX agent

arXiv:2502.14043v3 Announce Type: replace Abstract: Most learning algorithms with formal regret guarantees essentially rely on trying all possible behaviors, which is problematic when some errors cann

agentsarxiv-cs-lg
10 Sept 2026
Agents

WorldAgen: Unified State-Action Prediction with Test-Time World Model Training

DGX agent

arXiv:2609.08162v1 Announce Type: new Abstract: How can vision-language-action (VLA) models adapt to new environments where world dynamics shift? While recent research has combined world modeling and

agentsarxiv-cs-ai
10 Sept 2026
Agents

Efficient Exploration Is Enough

DGX agent

arXiv:2609.07575v1 Announce Type: new Abstract: This work introduces an alternative view of efficient exploration and studies its theoretical and empirical implications in the absence of extrinsic rew

agentsarxiv-cs-lg
9 Sept 2026
Agents

Input-to-State Stability Framework for Fully Distributed Primal-Dual Dynamics for Quadratic GNEPs Without Multiplier Consensus

DGX agent

arXiv:2609.06983v1 Announce Type: cross Abstract: Generalized Nash Equilibrium Problems (GNEPs) often arise in multi-agent engineering applications that require distributed algorithms. Unlike traditio

agentsarxiv-cs-lg
9 Sept 2026
Agents

Memory in Deep Time-Series Models

DGX agent

arXiv:2609.06006v1 Announce Type: new Abstract: Deep learning for time series has progressed through successive architectural paradigms, from recurrent networks and transformers to structured state-sp

agentsarxiv-cs-lg
9 Sept 2026
Agents

Non-Adaptive 1-Bit Mean Estimation: Minimax Rates and the Sample-Interval Tradeoff

DGX agent

arXiv:2609.08564v1 Announce Type: cross Abstract: We study distributed one-dimensional mean estimation under a 1-bit communication constraint. Each agent observes one sample, drawn independently from

agentsarxiv-cs-lg
9 Sept 2026
Agents

One MLLM, One Call: Efficient Zero-Shot Vision-and-Language Navigation via Spatial-Aware Waypoints

DGX agent

arXiv:2609.06476v1 Announce Type: new Abstract: Vision-and-Language Navigation in Continuous Environments (VLN-CE) requires an embodied agent to navigate unseen environments by following natural langu

agentsarxiv-cs-cv
9 Sept 2026
Agents

Online Surrogate Repair: Decoupling High-Fidelity Feedback from Search Length in Closed-Loop Discovery

DGX agent

arXiv:2609.07655v1 Announce Type: new Abstract: Closed-loop AI scientists can generate candidate designs at low marginal computational cost, whereas reliable feedback may require wet-lab synthesis, ch

agentsarxiv-cs-lg
9 Sept 2026
Agents

RoMu4o: A Robotic Manipulation Unit For Orchard Operations Automating Proximal Hyperspectral Leaf Sensing

DGX agent

arXiv:2501.10621v2 Announce Type: replace-cross Abstract: Driven by the need to address labor shortages and meet the demands of a rapidly growing population, robotic automation has become a critical c

agentsarxiv-cs-cv
9 Sept 2026
Agents

Dynamic Adaptation of the LLM Context for Generating Routines with Coupled Semantics

DGX agent

arXiv:2609.04570v1 Announce Type: cross Abstract: LLM-based code generation fails when correctness depends on execution-dependent coupling: the meaning of one routine is defined by the runtime behavio

agentsarxiv-cs-ai
7 Sept 2026
Agents

Pack It My Way: Triadic Human-Robot Collaboration for Personalized Autonomous Packing

DGX agent

arXiv:2609.04620v1 Announce Type: new Abstract: Personalized autonomous packing requires robots to account for resident preferences that cannot be inferred from scene geometry alone. Expert teleoperat

agentsarxiv-cs-ro
7 Sept 2026
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