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SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning38m◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning38m◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models38m◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents38m◆Why Muon Outperforms Adam: A Curvature Perspective38m◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies38m◆q0: Primitives for Hyper-Epoch Pretraining38m◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach38m◆Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems38m◆SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation38m◆AgenticDiffusion: Agentic Diffusion-based Path Planning for Vision-Based UAV Navigation38m◆Widening the Gap: Exploiting LLM Quantization via Outlier Injection38m◆Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction38m◆SaliMory: Orchestrating Cognitive Memory for Conversational Agents38m◆Optimizing Explicit Unit-Distance Lower-Bound Certificates38m◆MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning38m◆Demystifying Multi-Agent Debate: The Role of Confidence and Diversity38m◆Physics-Informed Machine Learning for Short-Term Flood Prediction38m◆Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems38m◆POLARIS: Guiding Small Models to Write Long Stories38m◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning38m◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning38m◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models38m◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents38m◆Why Muon Outperforms Adam: A Curvature Perspective38m◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies38m◆q0: Primitives for Hyper-Epoch Pretraining38m◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach38m◆Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems38m◆SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation38m◆AgenticDiffusion: Agentic Diffusion-based Path Planning for Vision-Based UAV Navigation38m◆Widening the Gap: Exploiting LLM Quantization via Outlier Injection38m◆Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction38m◆SaliMory: Orchestrating Cognitive Memory for Conversational Agents38m◆Optimizing Explicit Unit-Distance Lower-Bound Certificates38m◆MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning38m◆Demystifying Multi-Agent Debate: The Role of Confidence and Diversity38m◆Physics-Informed Machine Learning for Short-Term Flood Prediction38m◆Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems38m◆POLARIS: Guiding Small Models to Write Long Stories38m◆
News/Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries
huggingface
PublishedMarch 10, 2026 at 12:00 AM

Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries

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