Update README.md

README.md

@@ -1,3 +1,50 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+---
+
+# ConnectZero-Nakalipithecus
+
+An AlphaZero-based Reinforcement Learning agent for Connect 4 game.
+
+**Architecture:** ResNet (5 Residual Blocks) + Dual Head (Policy & Value).
+
+**Framework:** PyTorch.
+
+**Training Platform:** Kaggle T4 GPU.
+
+**Author: Chakrabhuana Vishnu Deva.**
+
+# Training result
+
+```
+Total Parameter of the Model: 1,497,742
+Starting Training for 5 Iterations...
+
+--- Iteration 1 ---
+Self-Playing 100 games...
+Data Collected: 1359 samples
+Avg Loss: 2.9339
+
+--- Iteration 2 ---
+Self-Playing 100 games...
+Data Collected: 1644 samples
+Avg Loss: 2.6747
+
+--- Iteration 3 ---
+Self-Playing 100 games...
+Data Collected: 1739 samples
+Avg Loss: 2.4139
+
+--- Iteration 4 ---
+Self-Playing 100 games...
+Data Collected: 1678 samples
+Avg Loss: 2.3377
+
+--- Iteration 5 ---
+Self-Playing 100 games...
+Data Collected: 2370 samples
+Avg Loss: 2.1712
+Model Saved!
+```