policy
RL-CartPole-DQN
Seyed07 · TensorFlow
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Overview
Name
RL-CartPole-DQN
Author
Seyed07
Framework
TensorFlow
License
unknown
Skill type
other
Evidence level
untested
Task description
Deep Q-Network (DQN) implementation for solving the CartPole-v1 environment using Reinforcement Learning. The agent learns to balance a pole on a cart through trial and error. Includes TensorFlow-based DQN model, reward visualization, and a real-time simulation with "human-render" mode. Perfect for
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
0+20 mentioned but not in catalog yetNo robots list RL-CartPole-DQN as compatible yet. Know of one? Flag it above.
Compatible environments
0No environments list RL-CartPole-DQN yet.
Datasets that reference this policy
0No datasets reference RL-CartPole-DQN yet.