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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: 5 months ago
First release: over 6 years ago
Dependent repositories: 5
Downloads: 243 last month
Stars: 297 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
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Last synced: 20 days ago