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This is the code to solve gym-game2048, a reinforcement learning environment based on the 2048 game.

Detailed experimental results can be found in the wandb project link below.

After training, you can modify the weight_path in the monitoring.py file to record the agent's gameplay.

The parameters for training are inside the game2048_v2_ppo*.py file and can be modified as desired.

The code referenced

score

episodic_length

max_number

episodic_return

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