Update README.md

README.md

@@ -8,6 +8,14 @@ avg cpl:
 - 100
 pipeline_tag: reinforcement-learning
 ---
+---
+co2_eq_emissions:
+  emissions: 0
+  source: "None"
+  training_type: "pre-training"
+  geographical_location: "Hungary"
+  hardware_used: "1 T4, 1 M3"
+---
 # NeoChess
 ![Diagram](NeoPawn.png)
 NeoChess is a self-learning chess engine written in Python. It uses PyTorch to build a neural network that evaluates chess positions, and it learns by playing games against the Stockfish engine and itself. The core learning mechanism is based on reinforcement learning principles, where the model is rewarded for winning games and penalized for losing.