repoGitHubTrust 82 · PrimaryPublished 6d agoLive · 5d ago
AgileRL/AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Covers
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)
Related across the graph
newsRL without TD learningpaperAdaptive Inference Batching using Policy GradientspaperSILO: 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 DistillationpaperIs 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)paperZ-1: Efficient Reinforcement Learning for Vision-Language-Action ModelspaperTREK: Distill to Explore, Reinforce to Refine