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algorithm-comparison

Complete guide to RL algorithms in OpenRLHF: PPO, REINFORCE++, GRPO, RLOO, and their variants.

  • Skills
  • AI research
  • 2

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.

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

Install (Claude Code)

mkdir -p .claude/skills/algorithm-comparison && curl -fsSL https://doutorai.pt/data/lib/skills__algorithm-comparison.md -o .claude/skills/algorithm-comparison/SKILL.md

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

Content

# Algorithm Comparison

Complete guide to RL algorithms in OpenRLHF: PPO, REINFORCE++, GRPO, RLOO, and their variants.

## Overview

OpenRLHF supports 6 RL algorithms selectable via `--advantage_estimator`:
- **gae** - PPO with Generalized Advantage Estimation
- **reinforce** - REINFORCE++ (PPO optimizations without critic)
- **reinforce_baseline** - REINFORCE++ with baseline
- **group_norm** - GRPO (Group Normalized Policy Optimization)
- **dr_grpo** - Dr. GRPO (GRPO without std normalization)
- **rloo** - Reinforcement Learning with Online Off-policy Correction

## Algorithm Details

### PPO

- 🔒 Full content on the Pro plan (€7.99/month) -

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