GitHub / raselmahmud-coder / Deep-Q-Network-DQN-Variants-Analysis-for-Optimization
This repository contains PyTorch implementations of three DQN variants: Classic DQN, Double DQN, and Dueling DQN. These implementations are designed for OpenAI Gymnasium environments, demonstrating the evolution and improvements in DQN architectures.
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PURL: pkg:github/raselmahmud-coder/Deep-Q-Network-DQN-Variants-Analysis-for-Optimization
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License: None
Language: Python
Size: 6.94 MB
Dependencies parsed at: Pending
Created at: 7 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago
Topics: dqn-pytorch, dqn-tensorflow, dueling-dqn, project, reinforcement-learning, rl