update readme

README.md

@@ -116,7 +116,7 @@ Before running experiments, please review and modify the configuration settings
 
 ### Robots
 
-Robots utilized for our experiments. Building instructions can be found [here](https://sites.google.com/view/bricksrl/building-instructions).
+Robots utilized for our experiments. Building instructions can be found [here](https://bricksrl.github.io/ProjectPage/).
 
 | ![2wheeler](https://drive.google.com/uc?export=view&id=1IxqQ1VZchPZMNXyZnTULuNy53-LMYT6W) | ![Walker](https://drive.google.com/uc?export=view&id=1ImR0f1UNjC4sUHXWWg_D06eukrh-doW9) | ![RoboArm](https://drive.google.com/uc?export=view&id=1IYCJrl5rZBvOb6xKwbSUZqYrVwKjCpJH) | 
 |:--:|:--:|:--:|  
@@ -139,7 +139,7 @@ Robots utilized for our experiments. Building instructions can be found [here](h
 <details>
   <summary>Click me</summary>
 
-Evaluation videos of the trained agents can be found [here](https://sites.google.com/view/bricksrl/main).
+Evaluation videos of the trained agents can be found [here](https://bricksrl.github.io/ProjectPage/).
 
 ### 2Wheeler Results:
 
@@ -161,7 +161,7 @@ Evaluation videos of the trained agents can be found [here](https://sites.google
 ### Offline RL 
 <details>
   <summary>Click me</summary>
-With the use of precollected [offline datasets]() we can pretrain agents with offline RL to perform a task without the need of real world interaction. Such pretrained policies can be evaluated directly or used for later training to fine tuning the pretrained policy on the real robot. 
+With the use of precollected [offline datasets](https://huggingface.co/datasets/compsciencelab/BricksRL-Datasets) we can pretrain agents with offline RL to perform a task without the need of real world interaction. Such pretrained policies can be evaluated directly or used for later training to fine tuning the pretrained policy on the real robot. 
 
 #### Datasets
 The datasets can be downloaded from huggingface and contain expert and random transitions for the 2Wheeler (RunAway-v0 and Spinning-v0), Walker (Walker-v0) and RoboArm (RoboArm-v0) robots.