Omkar2118/datasets huggingface dataset:
CARL
Full name: Context Adaptive RL

CARL (context adaptive RL) provides highly configurable contextual extensions to several well-known RL environments. It's designed to test your agent's generalization capabilities in all scenarios where intra-task generalization is important.

Benchmarks include:

- [OpenAI gym classic control suite](/dataset/openai-gym) extended with several physics context features like gravity or friction

- [OpenAI gym Box2D](/dataset/openai-gym) BipedalWalker, LunarLander and CarRacing, each with their own modification possibilities like new vehicles to race

- All [Brax locomotion environments](/dataset/brax) with exposed internal features like joint strength or torso mass

- [Super Mario (TOAD-GAN)](/dataset/toad-gan), a procedurally generated jump'n'run game with control over level similarity

- [RNADesign](/dataset/rnadesign), an environment for RNA design given structure constraints with structures from different datasets to choose from

Description from: [CARL](https://github.com/automl/CARL)

Image source: [https://github.com/automl/CARL](https://github.com/automl/CARL)

Introducing paper: CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning