ucla-rlcourse/RLexample resource

Health v2 · maintenance only

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1272 stars · 301 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Jupyter Notebook and Python script examples demonstrating basic reinforcement learning with Gymnasium, PyTorch, and simulators like AI2THOR, MetaDrive, and Genesis. It serves as a hands-on tutorial companion for UCLA's RL course.

Use cases

• learn reinforcement learning basics with cartpole examples
• implement a policy gradient agent to play pong
• train a PPO agent to control a car or quadruped robot
• get started with gymnasium environments
• find example code for random and learning agents in RL environments

When to choose

• you are a student or beginner learning reinforcement learning fundamentals
• you want small, runnable example scripts for Gymnasium and PyTorch RL
• you need starter code for policy gradient or PPO experiments

When to avoid

• you need a production-ready RL library or framework
• you require a maintained, licensed dependency for a real project
• you want comprehensive, well-tested RL algorithms

Facets

learning-resource · maturity maintenance

reinforcement-learning machine-learning simulation reinforcement-learning machine-learning tutorials education python cross-platform gymnasium pytorch jupyter-notebooks policy-gradient ppo educational-examples

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markdown · JSON · MCP: product_card(name="ucla-rlcourse/RLexample")