Updates

README.md

@@ -11,10 +11,12 @@ pinned: true
 
 # CS581 Final Project - Dynamic Programming & Monte-Carlo RL Methods
 
-[Google Slides](https://docs.google.com/presentation/d/1v4WwBQKoPnGiyCMXgUs-pCCJ8IwZqM3thUf-Ky00eTQ/edit?usp=sharing)
+Authors: Andrei Cozma and Landon Harris
 
 Evolution of Reinforcement Learning methods from pure Dynamic Programming-based methods to Monte Carlo methods + Bellman Optimization Comparison  
 
+[Google Slides](https://docs.google.com/presentation/d/1v4WwBQKoPnGiyCMXgUs-pCCJ8IwZqM3thUf-Ky00eTQ/edit?usp=sharing)
+
 # 1. Requirements
 
 Python 3.6+ with the following major dependencies:

demo.py

@@ -347,7 +347,7 @@ with gr.Blocks(title="CS581 Demo") as demo:
         all_policies = []
 
     gr.components.HTML(
-        "<h1>CS581 Final Project Demo - Dynamic Programming & Monte-Carlo RL Methods (<a href='https://huggingface.co/spaces/acozma/CS581-Algos-Demo'>HF Space</a>)</h1>"
+        "<h1>CS581 Final Project Demo - Dynamic Programming & Monte-Carlo RL Methods (<a href='https://github.com/andreicozma1/CS581-Algorithms-Project'>GitHub</a>) (<a href='https://huggingface.co/spaces/acozma/CS581-Algos-Demo'>HF Space</a>)</h1>"
     )
 
     localstate = gr.State(RunState())