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spinning-up-deep-rl

v1.0.0

Knowledge base from "Spinning Up in Deep RL" by Joshua Achiam (OpenAI, MIT-licensed). Use when applying Achiam's frameworks for RL fundamentals and MDPs, the model-free algorithm taxonomy, policy gradient derivations, the six reference algorithms (VPG, TRPO, PPO, DDPG, TD3, SAC), debugging silently-failing RL code, or running rigorous multi-seed RL experiments.

Claude Code1 Skill

By Alireza RezvaniLicense: MIT25.1k GitHub starsUpdated 21 hours ago

Directory evidence

Runtimes
Claude Code
Parsed components
1 skill or MCP entry
Source updated
Aug 26, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install plugin

Installs for the current user
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install spinning-up-deep-rl@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/alirezarezvani/claude-skills

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is engineering/spinning-up-deep-rl/.

Plugin files

engineering/spinning-up-deep-rl/
├── .claude-plugin/plugin.json
└── skills/spinning-up-deep-rl/SKILL.md

Included Skills1

spinning-up-deep-rlskills/spinning-up-deep-rl/SKILL.md

Knowledge base from "Spinning Up in Deep RL" by Joshua Achiam (OpenAI, MIT-licensed). Use when applying Achiam's frameworks for RL fundamentals and MDPs, the model-free algorithm taxonomy, policy gradient derivations, the six reference algorithms (VPG, TRPO, PPO, DDPG, TD3, SAC), debugging silently-failing RL code, or running rigorous multi-seed RL experiments.

Plugin manifests1

engineering/spinning-up-deep-rl/.claude-plugin/plugin.json
{
  "name": "spinning-up-deep-rl",
  "description": "Knowledge base from \"Spinning Up in Deep RL\" by Joshua Achiam (OpenAI, MIT-licensed). Use when applying Achiam's frameworks for RL fundamentals and MDPs, the model-free algorithm taxonomy, policy gradient derivations, the six reference algorithms (VPG, TRPO, PPO, DDPG, TD3, SAC), debugging silently-failing RL code, or running rigorous multi-seed RL experiments.",
  "version": "1.0.0",
  "author": {
    "name": "Alireza Rezvani",
    "url": "https://github.com/alirezarezvani"
  },
  "homepage": "https://github.com/alirezarezvani/claude-skills/tree/main/engineering/spinning-up-deep-rl",
  "repository": "https://github.com/alirezarezvani/claude-skills",
  "license": "MIT",
  "skills": [
    "./skills/spinning-up-deep-rl"
  ]
}

For maintainers

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[spinning-up-deep-rl on Agent Plugins Marketplace](https://pluginsmp.com/plugins/spinning-up-deep-rl)