ai-agent

cid-in-rl: Improve RL Efficiency

Get code for causal influence detection in reinforcement learning.
49 stars2 forksPythonGuide quality 8/10Updated 3/16/2022100% free · open source
What it does

Detects causal influences in reinforcement learning environments to improve efficiency in learning optimal policies

When to use it
  • When you're using reinforcement learning to train an agent and want to identify the most influential factors in the environment
  • When you're experiencing slow convergence or poor performance in your reinforcement learning model
  • When you want to understand the causal relationships between different variables in your reinforcement learning environment
Ready-to-paste prompt
python run.py --config config.py --env CartPole-v1 --num_episodes 100
Heads up: Make sure you have the correct version of Python (3.8 or later) and the required dependencies installed, as specified in the requirements.txt file
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/cid-in-rl && curl -fsSL https://workflowstacks.com/api/skills/cid-in-rl/claude-skill -o ~/.claude/skills/cid-in-rl/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions
Details
Creator
martius-lab
Language
Python
Category
ai-agent
Published
10/11/2021

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