Update README.md

Author: zhuyifengzju

README.md

@@ -13,7 +13,7 @@ https://github.com/Lifelong-Robot-Learning/LIBERO/assets/8097542/cbb1522f-0831-4
 **LIBERO** is designed for studying knowledge transfer in multitask and lifelong robot learning problems. Successfully resolving these problems require both declarative knowledge about objects/spatial relationships and procedural knowledge about motion/behaviors. **LIBERO** provides:
 - a procedural generation pipeline that could in principle generate an infinite number of manipulation tasks.
 - 130 tasks grouped into four task suites: **LIBERO-Spatial**, **LIBERO-Object**, **LIBERO-Goal**, and **LIBERO-100**. The first three task suites have controlled distribution shifts, meaning that they require the transfer of a specific type of knowledge. In contrast, **LIBERO-100** consists of 100 manipulation tasks that require the transfer of entangled knowledge. **LIBERO-100** is further splitted into **LIBERO-90** for pretraining a policy and **LIBERO-10** for testing the agent's downstream lifelong learning performance.
-- five research topics (**bottom** of the above figure).
+- five research topics.
 - three visuomotor policy network architectures.
 - three lifelong learning algorithms with the sequential finetuning and multitask learning baselines.