Updated Our Progress

Signed-off-by: sakundu <sakundu@ucsd.edu>

Docs/OurProgress/README.md

@@ -1777,7 +1777,7 @@ At some point during the past weeks, we realized that this would also be a poten
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-Ariane 68%:
+**Ariane 68%:**  
 <p align="center">
 <img width="300" src="./images/image8.png" alg="Ariane133_68_CT_CMP_Place">
 <img width="300" src="./images/image2.png" alg="Ariane133_68_CT_CMP_Route">
@@ -2059,7 +2059,7 @@ The following table and screenshots show the CT result.
 <table>
 <thead>
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-    <th colspan="10"><p align="center"><a id="Ariane133_NG45_1.5ns_CT"></a>Ariane133-68-NG45 CT result for TCP:1.5ns [Corresponding CMP result <a href="#Ariane133_NG45_1.5ns_CMP">link</a>]</th>
+    <th colspan="10"><p align="center"><a id="Ariane133_NG45_1.5ns_CT"></a>Ariane133-68-NG45 CT result for TCP:1.5ns [Corresponding CMP result <a href="#Ariane133_NG45_1.5ns_CMP">link</a>]</p></th>
   </tr>
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@@ -2134,7 +2134,7 @@ The following table and screenshots show the CT result.
 <table>
 <thead>
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-    <th colspan="10"><p align="center"><a id="Ariane133_NG45_1.3ns_CT"></a>Ariane133-68-NG45 CT result for TCP:1.3ns [Corresponding CMP result <a href="#Ariane133_NG45_1.3ns_CMP">link</a>]</th>
+    <th colspan="10"><p align="center"><a id="Ariane133_NG45_1.3ns_CT"></a>Ariane133-68-NG45 CT result for TCP:1.3ns [Corresponding CMP result <a href="#Ariane133_NG45_1.3ns_CMP">link</a>]</p></th>
   </tr>
 </thead>
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@@ -2475,7 +2475,6 @@ We shared the Ariane133-NG45-68% protobuf netlist and clustered netlist with Goo
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-<p align="center">
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@@ -2507,7 +2506,6 @@ We shared the Ariane133-NG45-68% protobuf netlist and clustered netlist with Goo
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-</p>
   
 <p align="center">
 <img width="300" src="./images/image48.png" alg="ariane133_68_ct_google_place">
@@ -2515,7 +2513,7 @@ We shared the Ariane133-NG45-68% protobuf netlist and clustered netlist with Goo
 </p>
 
 
-**October 8:**  
+**October 9:**  
 
 <a id="Question9"></a>
 **<span style="color:blue">Question 9.</span>** Are CT results stable? If not, how much does the outcome vary?  
@@ -4033,7 +4031,7 @@ In the following table we report the Kendall rank correlation coefficient for pr
 
 
 <a id="MemPoolGroup_NG45_68"></a>
-**Circuit Training Baseline Result on “Our MemPool_Group-NanGate45_68”.**
+**Circuit Training Baseline Result on “Our MemPool_Group-NanGate45_68”.**  
 We have trained CT to generate a macro placement for the [MemPool Group design](../../Flows/NanGate45/mempool_group/). For this experiment we use the NanGate45 enablement; the initial canvas size is generated by setting utilization to 68%. We use the default hyperparameters used for Ariane to train CT for bp_quad design. The number of hard macros in MemPool Group is 324, so we update [max_sequence_length](https://github.com/google-research/circuit_training/blob/6a76e327a70b5f0c9e3291b57c085688386da04e/circuit_training/learning/ppo_collect.py#L53) to 325 in [ppo_collect.py](https://github.com/google-research/circuit_training/blob/6a76e327a70b5f0c9e3291b57c085688386da04e/circuit_training/learning/ppo_collect.py#L53)  and [sequence_length](https://github.com/google-research/circuit_training/blob/6a76e327a70b5f0c9e3291b57c085688386da04e/circuit_training/learning/train_ppo.py#L57) to 325 in [train_ppo.py](https://github.com/google-research/circuit_training/blob/6a76e327a70b5f0c9e3291b57c085688386da04e/circuit_training/learning/train_ppo.py#L57).
 
   
@@ -4212,7 +4210,7 @@ We have trained CT to generate a macro placement for the [MemPool Group design](
 </p>
 
 ## **Pinned (to bottom) question list:**
-
+  
 **<span style="color:blue">[Question 1](#Question1).</span>** How does having an initial set of placement locations (from physical synthesis) affect the (relative) quality of the CT result?  
 **<span style="color:blue">[Question 2](#Question2).</span>** How does utilization affect the (relative) performance of CT?  
 **<span style="color:blue">[Question 3](#Question3).</span>** Is a testcase such as Ariane-133 “probative”, or do we need better testcases?