Update README.md

README.md

@@ -27,20 +27,16 @@ A set of high-dimensional continuous control environments for use with Unity ML-
 
 ### Controller (DReCon)- Preview
 
-A controller based agent, inspired by the DReCon paper (link below). The agent learns to follow a simple traditional controller agent and exhibits emergent behavior. **In Preview**
-
-|  | Video |
-|:-----------------------------------------------------------------------------|:-----:|
-| <ul><li>ControllerMarathonMan-v0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li></ul> | [![Style Transfer Videos](https://img.youtube.com/vi/itUtkgCTma4/mqdefault.jpg)](https://www.youtube.com/watch?v=itUtkgCTma4) |
+|  | Walkthrough |
+|:----------|:------------------------:|
+| <p>A controller based agent, inspired by the DReCon paper (link below). The agent learns to follow a simple traditional controller agent and exhibits emergent behavior. **In Preview** </p> <p><ul><li>ControllerMarathonMan-v0</li></ul></p> | [![Style Transfer Videos](https://img.youtube.com/vi/itUtkgCTma4/mqdefault.jpg)](https://www.youtube.com/watch?v=itUtkgCTma4) &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; |
 
 
 ### Style Transfer (DeepMimic)
 
-Learning from motion capture examples, inspired by the DeepMimic paper (link below). The agent learns the motion capture sequence using a phase value.
-
-|  | Video |
-|:-----------------------------------------------------------------------------|:-----:|
-| <ul style="font-weight: 100;"><li>MarathonManWalking-v0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li><li>MarathonManRunning-v0</li><li>arathonManJazzDancing-v0</li><li>MarathonManMMAKick-v0</li><li>MarathonManPunchingBag-v0</li><li>MarathonManBackflip-v0</li></ul>     | [![Style Transfer Videos](https://img.youtube.com/vi/eSu1SXnEgsM/mqdefault.jpg)](https://www.youtube.com/watch?v=eSu1SXnEgsM&list=PLX7INEUkOHp-uXg6xhqDWuDT4ENb6sSWA&index=1) |
+|  | Videos |
+|:-----------------------------------------------------------------------------|:------------------------:|
+| <p>Learning from motion capture examples, inspired by the DeepMimic paper (link below). The agent learns the motion capture sequence using a phase value. <p><ul><li>MarathonManWalking-v0</li><li>MarathonManRunning-v0</li><li>arathonManJazzDancing-v0</li><li>MarathonManMMAKick-v0</li><li>MarathonManPunchingBag-v0</li><li>MarathonManBackflip-v0</li></ul></p>   | [![Style Transfer Videos](https://img.youtube.com/vi/eSu1SXnEgsM/mqdefault.jpg)](https://www.youtube.com/watch?v=eSu1SXnEgsM&list=PLX7INEUkOHp-uXg6xhqDWuDT4ENb6sSWA&index=1) &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; |