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pypi.org : pyqlearning

pyqlearning is Python library to implement Reinforcement Learning and Deep Reinforcement Learning, especially for Q-Learning, Deep Q-Network, and Multi-agent Deep Q-Network which can be optimized by Annealing models such as Simulated Annealing, Adaptive Simulated Annealing, and Quantum Monte Carlo Method.

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purl: pkg:pypi/pyqlearning
Keywords: Q-Learning , Deep , Q-Network , DQN , Reinforcement , Learning , Boltzmann , Multi-agent , LSTM , CNN , Convolution , auto-encoder , automatic-summarization , combinatorial-optimization , deep-learning , deep-q-network , deep-reinforcement-learning , energy-based-model , generative-adversarial-network , lstm , multi-agent-reinforcement-learning , q-learning , quantum-annealing , quantum-monte-carlo , reinforcement-learning , restricted-boltzmann-machine , self-supervised-learning , semi-supervised-learning , simulated-annealing , transfer-learning
License: GPL-2.0
Latest release: almost 2 years ago
First release: almost 8 years ago
Dependent repositories: 5
Downloads: 105 last month
Stars: 318 on GitHub
Forks: 92 on GitHub
Docker dependents: 1
Docker downloads: 71
Total Commits: 1784
Committers: 9
Average commits per author: 198.222
Development Distribution Score (DDS): 0.414
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 10 days ago

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