File size: 904 Bytes
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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!
``` |