TianhongDai/reinforcement-learning-algorithms

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

694 110 +0/wk

GitHub

a2c actor-critic algorithm atari2600 ddpg deep-learning deep-reinforcement-learning dqn dueling-dqn flappy-bird ppo proximal-policy-optimization

Trend 3

Star & Fork Trend (20 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 694

forks 110

Growth Velocity

TianhongDai/reinforcement-learning-algorithms has +0 stars this period . 7-day velocity: 0.1%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	reinforcement-learning-algorithms	geospatial-machine-learning	dl-on-flink	mario-ai
Stars	694	694	694	695
Forks	110	164	197	142
Weekly Growth	+0	+0	+0	+0
Language	Python	N/A	Java	Lua
Sources	1	1	1	1
License	N/A	MIT	Apache-2.0	MIT

Capability Radar vs geospatial-machine-learning

reinforcement-learning-algorithms

geospatial-machine-learning

Maintenance Activity 40

Last code push 112 days ago.

Community Engagement 79

Fork-to-star ratio: 15.9%. 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 30

No clear license detected — proceed with caution.

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