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OpenClaw Skills & Use Case Index

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Skills with input: training configuration

Browse skills that use this input.

verl-rl-training - RL Training Library for LLMs
Reinforcement Learning RLHF GRPO PPO
★ 602 · Updated 2026-06-30
Provides guidance for training LLMs with RL using verl library
⚙ train models with RLHF ⚙ train models with GRPO ⚙ train models with PPO
verl-rl-training - LLM Reinforcement Learning Training with Verl
Reinforcement Learning RLHF Post-Training Distributed Training
★ 0 · Updated 2026-06-30
Train LLMs at scale using verl with PPO, GRPO, and other RL algorithms
⚙ train models with PPO ⚙ train models with GRPO ⚙ configure RL algorithms
verl-rl-training - Train LLMs with verl RL library
Reinforcement Learning RLHF Model Training Distributed Computing
★ 1 · Updated 2026-06-30
Flexible RL training library for large language models supporting multiple algorithms and backends
⚙ train LLM with GRPO algorithm ⚙ train LLM with PPO algorithm ⚙ train LLM with RLOO algorithm
stable-baselines3 - Train RL Agents with Stable Baselines3
reinforcement learning machine learning agents training RL algorithms
★ 16 · Updated 2026-06-15
Implement RL algorithms and train agents using PyTorch-based library
⚙ train RL agents ⚙ create custom environments ⚙ implement callbacks
pytorch-lightning - PyTorch Lightning Training Framework
PyTorch Lightning training framework distributed training ddp
★ 2 · Updated 2026-05-28
High-level PyTorch framework for distributed training with automatic DDP/FSDP/DeepSpeed support
⚙ train model ⚙ validate model ⚙ test model
miles-rl-training - Enterprise RL Training Framework
Reinforcement Learning MoE FP8 INT4
★ 602 · Updated 2026-05-11
Enterprise-grade RL training framework for large MoE models with FP8/INT4 support
⚙ train MoE models ⚙ configure FP8 training ⚙ configure INT4 training
numerai-model-implementation - Implement New Model Types for Numerai Training
machine-learning numerai model-implementation training-pipeline
★ 0 · Updated 2026-02-18
Add new model types to the training pipeline
⚙ register model in factory ⚙ define model API ⚙ update training configs