One Shot Imitation Learning

---
name: one-shot-imitation-learning---one-shot-imitation-l
description: Skill for AI agent capabilities
---

# one-shot-imitation-learning - One-shot imitation learning

## Description

**Source:** https://openai.com/index/one-shot-imitation-learning
**Date:** Tue, 21 Mar 2017 07:00:00 GMT
**Category:** OpenAI Research

## Activation Keywords

- one-shot imitation learning
- openai one-shot-imitation-learning
- one shot imitation learning

## Core Concepts

### Key Points

- Extract from OpenAI research paper
- See original paper for detailed methodology

## Step-by-Step Instructions

### 1. Background

```python
# Research background
# See original paper: https://openai.com/index/one-shot-imitation-learning
```

### 2. Implementation

```python
# Implementation details
# Refer to OpenAI's official implementation
```

## Tools Used

- `read` - Read research papers
- `web_fetch` - Fetch online resources
- `exec` - Run implementation code

## Example Use Cases

### 1. Basic Usage

```python
# Example usage based on research
```

## Instructions for Agents
Follow these steps when applying this skill:

### Step 1: Background

## Examples

### Example 1: Basic Application

**User:** I need to apply one-shot-imitation-learning - One-shot imitation learning to my analysis.

**Agent:** I'll help you apply one-shot-imitation-learning. First, let me understand your specific use case...

**Context:** Apply the methodology

### Example 2: Advanced Scenario

**User:** Complex analysis scenario

**Agent:** Based on the methodology, I'll guide you through the advanced application...

### Example 2: Advanced Application

**User:** What are the key considerations for one-shot-imitation-learning?

**Agent:** Let me search for the latest research and best practices...

## Related Skills

- Other OpenAI research skills

## References

- https://openai.com/index/one-shot-imitation-learning

---

**Created:** 2026-03-29 14:26
**Author:** Aerial (from OpenAI Research)