policy
2048-DeepQ-Network
demiolawunmi · TensorFlow
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Overview
Name
2048-DeepQ-Network
Author
demiolawunmi
Framework
TensorFlow
License
MIT
Skill type
manipulation
Evidence level
untested
Task description
Train Deep Q‑Learning agents to play 2048 using Gymnasium and TensorFlow/Keras. It supports classic DQN, Double DQN, and Dueling DQN, with tools for evaluation, trajectory replay, and model/weight/activation visualizations. Runs are organized with timestamped folders for checkpoints, logs, trajector
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
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Compatible environments
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Datasets that reference this policy
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