CARL

홈페이지 · 논문 7편

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 Image source: https://github.com/automl/CARL