diff --git a/openfasoc/MLoptimization/README.md b/openfasoc/MLoptimization/README.md
index 74d3cf91c..7e95dc428 100644
--- a/openfasoc/MLoptimization/README.md
+++ b/openfasoc/MLoptimization/README.md
@@ -1,8 +1,11 @@
 # Machine Learning Optimization
 Code for reinforcement learning loop with openfasoc generators for optimizing metrics
 
+## Supported Versions
+Please note that this program has only been tested with python3.11
+
 ## Quick Start
-run `bash quickstart.bash` to get an example RL run optimizing opamps at room temperature.
+run `bash quickstart.bash` to get an example RL run optimizing opamps.
 
 ## Code Setup
 The code is setup as follows:
@@ -18,13 +21,13 @@ Make sure that you have OpenAI Gym and Ray installed. To do this, run the follow
 
 To generate the design specifications that the agent trains on, run:
 ```
-python3.10 gen_specs.py
+python3.11 gen_specs.py
 ```
 The result is a yaml file dumped to the ../generators/gdsfactory-gen/.
 
 To train the agent, open ipython from the top level directory and then: 
 ```
-python3.10 model.py
+python3.11 model.py
 ```
 The training checkpoints will be saved in your home directory under ray\_results. Tensorboard can be used to load reward and loss plots using the command:
 
@@ -36,7 +39,7 @@ tensorboard --logdir path/to/checkpoint
 The evaluation script takes the trained agent and gives it new specs that the agent has never seen before. To generate new design specs, run the gen_specs.py file again with your desired number of specs to validate on. To run validation:
 
 ```
-python3.10 eval.py
+python3.11 eval.py
 ``` 
 
 The evaluation result will be saved to the ../generators/gdsfactory-gen/.
diff --git a/openfasoc/MLoptimization/quickstart.bash b/openfasoc/MLoptimization/quickstart.bash
index e0b1fccfd..93ad99855 100644
--- a/openfasoc/MLoptimization/quickstart.bash
+++ b/openfasoc/MLoptimization/quickstart.bash
@@ -1,7 +1,7 @@
 #!/bin/bash
 
 # this script will recreate the ICCAD paper RL results (using the default seed)
-echo "This script has been verified to run with python3.10 and all package versions provided"
+echo "This script has been verified to run with python3.11 and package versions provided"
 
 
 
@@ -10,28 +10,28 @@ echo "This script has been verified to run with python3.10 and all package versi
 # find most recent version of python
 #
 # Find all installed Python 3 versions and sort them in descending order
-PYTHON_VERSIONS=$(compgen -c | grep -E '^python3\.[0-9]+$' | sort -V | tail -n 1)
+#PYTHON_VERSIONS=$(compgen -c | grep -E '^python3\.[0-9]+$' | sort -V | tail -n 1)
 # Extract the most recent version
-MOST_RECENT_PYTHON=$(echo "$PYTHON_VERSIONS" | tail -n 1)
+#MOST_RECENT_PYTHON=$(echo "$PYTHON_VERSIONS" | tail -n 1)
 # Check if a Python version was found
-if [ -z "$MOST_RECENT_PYTHON" ]; then
-    echo "No Python 3 versions found."
-    exit 1
-fi
+#if [ -z "$MOST_RECENT_PYTHON" ]; then
+#    echo "No Python 3 versions found."
+#    exit 1
+#fi
 # Print the most recent Python version
-echo
-echo "Currently using Python version: $MOST_RECENT_PYTHON"
-echo
+#echo
+#echo "Currently using Python version: $MOST_RECENT_PYTHON"
+#echo
 # Check if the most recent version is at least 3.10
-MINIMUM_VERSION="3.10"
-if [[ "$(echo $MOST_RECENT_PYTHON | cut -d '.' -f2)" -lt "$(echo $MINIMUM_VERSION | cut -d '.' -f2)" ]]; then
-    echo "The most recent Python version ($MOST_RECENT_PYTHON) is less than $MINIMUM_VERSION. Please update your Python installation."
-    echo
-    exit 1
-fi
+#MINIMUM_VERSION="3.10"
+#if [[ "$(echo $MOST_RECENT_PYTHON | cut -d '.' -f2)" -lt "$(echo $MINIMUM_VERSION | cut -d '.' -f2)" ]]; then
+#    echo "The most recent Python version ($MOST_RECENT_PYTHON) is less than $MINIMUM_VERSION. Please update your Python installation."
+#    echo
+#    exit 1
+#fi
 # Save the command to run the most recent Python version into a variable
-PY_RUN=$MOST_RECENT_PYTHON
-
+#PY_RUN=$MOST_RECENT_PYTHON
+PY_RUN="python3.11"
 
 
 
diff --git a/openfasoc/MLoptimization/requirements.txt b/openfasoc/MLoptimization/requirements.txt
index a6850e6ea..a25b464d2 100644
--- a/openfasoc/MLoptimization/requirements.txt
+++ b/openfasoc/MLoptimization/requirements.txt
@@ -3,27 +3,11 @@ prettyprint
 prettyprinttree
 nltk
 torch
-transformers
-langchain
-langchain_community
-chromadb
-ollama
 klayout
-unstructured
-unstructured[md]
-sentence-transformers
-peft
-accelerate
-bitsandbytes
 safetensors
 requests
-datasets
-optimum
-trl
-langchain_huggingface
 tensorboard
 ray==2.7.1
-ray[default]
 gym==0.26.2
 gymnasium==0.28.1
 scikit-learn
@@ -33,3 +17,15 @@ seaborn
 matplotlib
 lz4
 async-timeout
+dm_tree
+pyarrow
+aiohttp>=3.7
+aiohttp_cors
+colorful
+py-spy>=0.2.0
+grpcio>=1.42.0
+opencensus
+virtualenv>=20.0.24, !=20.21.1
+memray
+smart_open
+prometheus_client >= 0.7.1
diff --git a/openfasoc/generators/glayout/tapeout/tapeout_and_RL/sky130_nist_tapeout.py b/openfasoc/generators/glayout/tapeout/tapeout_and_RL/sky130_nist_tapeout.py
index cf9978b34..6efb933fd 100644
--- a/openfasoc/generators/glayout/tapeout/tapeout_and_RL/sky130_nist_tapeout.py
+++ b/openfasoc/generators/glayout/tapeout/tapeout_and_RL/sky130_nist_tapeout.py
@@ -1,6 +1,6 @@
 import sys
 from os import path, rename, environ
-
+environ['OPENBLAS_NUM_THREADS'] = '1'
 # path to glayout
 sys.path.append(path.join(path.dirname(__file__), '../../'))
 
@@ -41,6 +41,7 @@
 import pickle
 import tempfile
 import subprocess
+import traceback
 
 global _TAPEOUT_AND_RL_DIR_PATH_
 global _GET_PARAM_SET_LENGTH_
@@ -54,7 +55,7 @@
 _TAKE_OUTPUT_AT_SECOND_STAGE_ = True
 
 if 'PDK_ROOT' in environ:
-	PDK_ROOT = Path(environ['PDK_ROOT']).resolve()
+	PDK_ROOT = str(Path(environ['PDK_ROOT']).resolve())
 else:
 	PDK_ROOT = "/usr/bin/miniconda3/share/pdk/"
 
@@ -1169,7 +1170,28 @@ def execute(self):
 
 # same as calling single_build_and_simulation, but runs in a subprocess
 def safe_single_build_and_simulation(*args, **kwargs) -> dict:
-	return safe_single_build_and_simulation_helperclass(*args,**kwargs).results
+	def get_parameter_value(param_name: str, *args, **kwargs):
+		# Check if the parameter is in kwargs
+		if param_name in kwargs:
+			return kwargs[param_name]
+		# Check if the parameter is in args
+		try:
+			# Find the index of the param_name in args and return the next item as its value
+			index = args.index(param_name)
+			return args[index + 1]
+		except (ValueError, IndexError):
+			# ValueError if param_name is not in args
+			# IndexError if param_name is the last item and has no value after it
+			return None
+	try:
+		return safe_single_build_and_simulation_helperclass(*args,**kwargs).results
+	except Exception as e_LorA:
+		if bool(get_parameter_value("hardfail",*args,**kwargs)):
+			raise e_LorA
+		results = opamp_results_serializer()
+		with open('get_training_data_ERRORS.log', 'a') as errlog:
+			errlog.write("\nopamp run "+str(get_parameter_value("index",*args,**kwargs))+" with the following params failed: \n"+str(get_parameter_value("params",*args,**kwargs)))
+	return results