Khrylx/PyTorch-RL

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

1.3k 191 +0/wk

GitHub

a2c deep-reinforcement-learning fisher-vectors generative-adversarial-network policy-gradient ppo proximal-policy-optimization pytorch pytorch-rl reinforcement-learning trpo

Trend 0

Star & Fork Trend (38 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 1.3k

forks 191

Growth Velocity

Khrylx/PyTorch-RL has +0 stars this period . Velocity data will be available after more historical data is collected.

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Signal-backed technical analysis will be available soon.

Metric	PyTorch-RL	DRL-robot-navigation	agi	CapsGNN
Stars	1.3k	1.3k	1.3k	1.3k
Forks	191	190	141	197
Weekly Growth	+0	+0	+0	+0
Language	Python	Python	N/A	Python
Sources	1	1	1	1
License	MIT	MIT	MIT	GPL-3.0

Capability Radar vs DRL-robot-navigation

PyTorch-RL

DRL-robot-navigation

Maintenance Activity 0

Last code push 1884 days ago.

Community Engagement 75

Fork-to-star ratio: 15.0%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.