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  1. Home
  2. /Repositories
  3. /AgileRL/AgileRL
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repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 6d ago

AgileRL/AgileRL

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 61%RL without TD learning →
  • PossiblePossibly related (embedding) · 58%Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training →
  • PossiblePossibly related (embedding) · 57%Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline) →
  • PossiblePossibly related (embedding) · 53%Joint Learning of Experiential Rules and Policies for Large Language Model Agents →
  • PossiblePossibly related (embedding) · 52%Z-1: Efficient Reinforcement Learning for Vision-Language-Action Models →
  • PossiblePossibly related (embedding) · 47%Improving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design →
  • PossiblePossibly related (embedding) · 57%SCOPE-RL: Optimizing Reasoning Paths Before and After Success →
  • PossiblePossibly related (embedding) · 55%Active Offline-to-Online Reinforcement Learning →

Covers

newsRL without TD learning

Implements

paperIs One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL TrainingpaperLearning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)paperJoint Learning of Experiential Rules and Policies for Large Language Model AgentspaperZ-1: Efficient Reinforcement Learning for Vision-Language-Action Models

Implements (incoming)

paperImproving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function DesignpaperSCOPE-RL: Optimizing Reasoning Paths Before and After SuccesspaperActive Offline-to-Online Reinforcement LearningpaperTransformer-Guided Swarm Intelligence for Frugal Neural Architecture SearchpaperA Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous ManipulationpaperGradient-free learning of a closed-loop wall controller for turbulent drag reductionpaperLearning-enabled Acceleration of Scenario-based Model Predictive ControlpaperVerifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage ControlpaperA Learning-Rate-Gated Failure of GRPO in a Small Language and Vision-Language Model Web Agent: A Controlled Null and Its MechanismpaperKnowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision ProcessespaperSILO: Simulation-in-the-Loop Sim-to-Real Transfer for Multi-Stage Cable RoutingpaperAdaptive Inference Batching using Policy GradientspaperTREK: Distill to Explore, Reinforce to RefinepaperWeak-to-Strong Generalization via Direct On-Policy Distillation

Related across the graph

paperSCOPE-RL: Optimizing Reasoning Paths Before and After SuccesspaperVerifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage ControlpaperImproving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function DesignnewsRL without TD learningpaperAdaptive Inference Batching using Policy GradientspaperActive Offline-to-Online Reinforcement LearningpaperSILO: Simulation-in-the-Loop Sim-to-Real Transfer for Multi-Stage Cable RoutingpaperJoint Learning of Experiential Rules and Policies for Large Language Model AgentspaperWeak-to-Strong Generalization via Direct On-Policy DistillationpaperA Learning-Rate-Gated Failure of GRPO in a Small Language and Vision-Language Model Web Agent: A Controlled Null and Its MechanismpaperKnowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision ProcessespaperLearning-enabled Acceleration of Scenario-based Model Predictive ControlpaperIs One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL TrainingpaperLearning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)paperTransformer-Guided Swarm Intelligence for Frugal Neural Architecture SearchpaperA Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous ManipulationpaperZ-1: Efficient Reinforcement Learning for Vision-Language-Action ModelspaperGradient-free learning of a closed-loop wall controller for turbulent drag reductionpaperTREK: Distill to Explore, Reinforce to Refine
Knowledge path·PSCOPE-RL: Optimizing Reasoning Paths Before and After Success→PVerifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage Control→PImproving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design→RAgileRL/AgileRL

Topics

agentsagilerlautomldeep-learningdeep-reinforcement-learningdistributedevolutionary-algorithmshpohyperparameter-optimizationhyperparameter-tuning

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score945