ikostrikov/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
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ikostrikov/pytorch-a2c-ppo-acktr-gail has +0 stars this period . 7-day velocity: 0.1%.
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| Metric | pytorch-a2c-ppo-acktr-gail | vector-quantize-pytorch | mission-control | Transfer-Learning-Library |
|---|---|---|---|---|
| Stars | 3.9k | 3.9k | 3.9k | 3.9k |
| Forks | 843 | 325 | 674 | 592 |
| Weekly Growth | +0 | +1 | +32 | +2 |
| Language | Python | Python | TypeScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | MIT |
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Last code push 1410 days ago.
Fork-to-star ratio: 21.7%. Active community forking and contributing.
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No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
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