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README.md

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-<img align="right" src="./docs/source/_images/static/bsk_rl-logo.png" width=220px>
+# BSK-RL: Environments for Spacecraft Planning and Scheduling
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+<img align="left" src="./docs/source/_images/static/bsk_rl-logo.png" width=200px style="margin:16px;">
 
-# BSK-RL: Environments and Algorithms for Spacecraft Planning and Scheduling
 
 [BSK-RL](https://avslab.github.io/bsk_rl/) ([Basilisk](https://hanspeterschaub.info/basilisk) + [Reinforcement Learning](https://en.wikipedia.org/wiki/Reinforcement_learning)) is a Python package for constructing [Gymnasium](https://gymnasium.farama.org/index.html) environments for spacecraft tasking problems. It is built on top of [Basilisk](https://hanspeterschaub.info/basilisk), a modular and fast spacecraft simulation framework, making the simulation environments high-fidelity and computationally efficient. BSK-RL also includes a collection of agents, training scripts, and examples for working with these environments.