online-rl

Guide to online reinforcement learning with PPO, GRPO, RLOO, and OnlineDPO.

Skills
AI research
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What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/online-rl && curl -fsSL https://doutorai.pt/data/lib/skills__online-rl.md -o .claude/skills/online-rl/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Online RL Methods

Guide to online reinforcement learning with PPO, GRPO, RLOO, and OnlineDPO.

## Overview

Online RL generates completions during training and optimizes based on rewards.

## PPO (Proximal Policy Optimization)

Classic RL algorithm for LLM alignment.

### Basic Usage

```bash
python -m trl.scripts.ppo \
    --model_name_or_path Qwen/Qwen2.5-0.5B-Instruct \
    --reward_model_path reward-model \
    --dataset_name trl-internal-testing/descriptiveness-sentiment-trl-style \
    --output_dir model-ppo \
    --learning_rate 3e-6 \
    --per_device_train_batch_size 64 \
    --tot

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