ai-agent
WAGE: ICLR Paper Code
Get ICLR 2018 oral paper code example, built with Python.
150 stars37 forksPythonGuide quality 8/10Updated 5/31/2018100% free · open source
What it does
WAGE is a code example for implementing the ICLR 2018 oral paper, providing a framework for AI agents to learn and adapt in complex environments.
When to use it
- •When you need to develop AI agents that can learn from experience and adapt to changing environments.
- •When you're working with complex tasks that require agents to balance exploration and exploitation.
- •When you want to reproduce the results of the ICLR 2018 oral paper or build upon its contributions.
Ready-to-paste prompt
python main.py --env CartPole-v0 --num_episodes 1000 --learning_rate 0.01
Heads up: Make sure you have Python 3.6 or later installed, as the code is not compatible with earlier versions of Python.
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/wage && curl -fsSL https://workflowstacks.com/api/skills/wage/claude-skill -o ~/.claude/skills/wage/SKILL.mdOpen in another AI app
Opens the app with this repo with the prompt ready to go — no copy-paste needed.
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/wage && curl -fsSL https://workflowstacks.com/api/skills/wage/claude-skill -o ~/.claude/skills/wage/SKILL.mdOpen in another AI app
Opens the app with this repo with the prompt ready to go — no copy-paste needed.
Details
Creator
boluoweifenda
Language
Python
Category
ai-agent
Published
10/22/2017
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