Update README.md

modelbased-rl/README.md

@@ -35,7 +35,7 @@ The current classifications of the mainstream algorithms in the modern Model-Bas
 
 ### Key Features
 
-Research in model-based RL has not been very standardized. It is fairly common for authors to experiment with self-designed environments, and there are several separate lines of research, which are sometimes closed-sourced or not reproducible. And for this, we have collected some of the mainstream MBRL algorithms and made some code-level optimizations. Bringing these algorithms together in a unified framework can save the researchers time in finding comparative baselines without the need to search around for implementations. Currently, we have implemented Dreamer, MBPO,BMPO, MuZero, PlaNet, SampledMuZero, CaDM and we plan to keep increasing this list in the future.  We will constantly update this repo to include new research made by TJU-DRL-Lab to ensure sufficient coverage and reliability. **What' more, We want to cover as many interesting new directions as possible, and then divide it into the topic we listed above, to give you some inspiration and ideas for your RESEARCH.** Moreover, we will publish a series of related blogs to explain more Model-Based RL algorithms. For a more detailed tutorial of this taxonomy, we refer the reader to our [ZhiHu blog series](https://zhuanlan.zhihu.com/p/425318401).
+Research in model-based RL has not been very standardized. It is fairly common for authors to experiment with self-designed environments, and there are several separate lines of research, which are sometimes closed-sourced or not reproducible. And for this, we have collected some of the mainstream MBRL algorithms and made some code-level optimizations. **Bringing these algorithms together in a unified framework can save the researchers time in finding comparative baselines without the need to search around for implementations.** Currently, we have implemented Dreamer, MBPO,BMPO, MuZero, PlaNet, SampledMuZero, CaDM and we plan to keep increasing this list in the future.  We will constantly update this repo to include new research made by TJU-DRL-Lab to ensure sufficient coverage and reliability. **What' more, We want to cover as many interesting new directions as possible, and then divide it into the topic we listed above, to give you some inspiration and ideas for your RESEARCH.** Moreover, we will publish a series of related blogs to explain more Model-Based RL algorithms. For a more detailed tutorial of this taxonomy, we refer the reader to our [ZhiHu blog series](https://zhuanlan.zhihu.com/p/425318401).
 
 ## An Overall View of Research Works in This Repo