diff --git a/docs/source/CFUPlayground.md b/docs/source/CFUPlayground.md
index 113160f2..eb5ff758 100644
--- a/docs/source/CFUPlayground.md
+++ b/docs/source/CFUPlayground.md
@@ -6,26 +6,67 @@ CFU Playground is a full-stack open-source framework for TinyML Acceleration. Th
 ## Installing CFU Playground
 
 In order to install CFU Playground, run the following script from the `oss-arch-gym` repository root:
+
+```sh
+git submodule update --init sims/CFU-Playground/CFU-Playground
+```
+
+- Move into the CFU Playrgoud directory:
+```sh 
+cd sims/CFU-Playground/CFU-Playground
+```
+- Run the following from this location:
+```sh
+./scripts/setup
+./scripts/setup_vexriscv_build.sh
+make install-sf
 ```
+Now you should be able to use the CFU-env gym environment.
 
+To invoke CFU Playground from arch-gym (after completing above installation steps):
+```
+cd oss-arch-gym/sims/CFU-Playground/
+```
+```
+make enter-sf
 ```
 
 ## Run Training Scripts
 
 Inside sims/CFU-Playground:
 
-* **Random Walker**: ```python trainrandomwalker.py```
+* **Random Walker**: ```python train_randomwalker_CFUPlayground.py```
+
+* **Random Search**: ```python train_randomsearch_CFUPlayground.py```
+
+* **Quasi Random**: ```python train_quasirandom_CFUPlayground.py```
+
+* **Grid Search**: ```python train_gridsearch_CFUPlayground.py```
+
+* **NSGA2**: ```python train_NSGA2_CFUPlayground.py```
+
+* **EMUKIT_GP**: ```python train_EMUKIT_GP_CFUPlayground.py```
+
 
-* **Other Algos Here**: ```python train....py```
 
 
-To update the workload for the training scripts, follow these steps:
+To update the parameters such as workload, num_steps, reward_formulation for the training scripts, follow these steps:
 ...
 
 ```
+python training_script.py --parameter=value
 ```
 
 ## Parameter Space
-| System Parameter      | Values        |
-| ----------------      | ------------- |
-|                       |               |
+| System Parameter       | Values        |
+| ----------------       | ------------- |
+|Bypass                  | True, False  
+|CFU Enable              | True, False  
+|Branch Prediction       | None, Static, Dynamic, Dynamic Target                           
+|Instruction Cache Size  | 0-16KiB                               
+|Data Cache Size         | 0-16KiB                               
+|Hardware Multiplier     | True, False                           
+|Hardware Divider        | True, False                           
+|Single Cycle Multiplier | True, False                           
+|Single Cycle Shifter    | True, False                           
+|Safe                    | True, False