REPOGEO REPORT · LITE
araffin/robotics-rl-srl
Default branch master · commit eae7c1ab · scanned 6/4/2026, 2:42:17 PM
GitHub: 656 stars · 92 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface araffin/robotics-rl-srl, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition the 'no longer maintained' statement to clarify historical value
Why:
CURRENT**This repository is no longer maintained. If you are looking for RL implementations, there is Stable-Baselines3, for a training framework, there is the RL Baselines3 Zoo.**
COPY-PASTE FIXWhile this repository is no longer actively maintained for new development, it serves as the original implementation and historical reference for evaluating State Representation Learning (SRL) methods with Reinforcement Learning (RL) in robotics, as presented in our related papers. For current RL implementations, consider Stable-Baselines3 or RL Baselines3 Zoo.
- mediumreadme#2Strengthen the README's initial positioning on SRL evaluation for robotics
Why:
CURRENTThis repository was made to evaluate State Representation Learning methods using Reinforcement Learning. It integrates (automatic logging, plotting, saving, loading of trained agent) various RL algorithms...
COPY-PASTE FIXThis S-RL Toolbox provides a comprehensive framework for *evaluating* State Representation Learning (SRL) methods specifically within *robotics control tasks* using Reinforcement Learning (RL). It integrates (automatic logging, plotting, saving, loading of trained agent) various RL algorithms...
- lowtopics#3Add specific topics for 'evaluation' and 'research'
Why:
CURRENTarm, baselines, baxter-robot, gym, kuka, pybullet, pytorch, reinforcement-learning, representation-learning, robotics, state
COPY-PASTE FIXarm, baselines, baxter-robot, gym, kuka, pybullet, pytorch, reinforcement-learning, representation-learning, robotics, state, evaluation, research, benchmark
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- scikit-learn/scikit-learn · recommended 2×
- DLR-RM/stable-baselines3 · recommended 2×
- ray-project/ray · recommended 2×
- Farama-Foundation/Gymnasium · recommended 1×
- deepmind/dm_control · recommended 1×
- CATEGORY QUERYHow can I efficiently evaluate state representation learning methods for robotic control tasks?you: not recommendedAI recommended (in order):
- OpenAI Gym/Gymnasium (Farama-Foundation/Gymnasium)
- DeepMind Control Suite (DMControl) (deepmind/dm_control)
- PyBullet Robotics (bulletphysics/bullet3)
- NumPy (numpy/numpy)
- Scikit-learn (scikit-learn/scikit-learn)
- scikit-image (scikit-image/scikit-image)
- PyTorch (pytorch/pytorch)
- TensorFlow (tensorflow/tensorflow)
- Python's `time` module
- cProfile
- `resource` module (Linux/macOS)
- `psutil` (giampaolo/psutil)
- scikit-learn's `TSNE` (scikit-learn/scikit-learn)
- `umap-learn` (lmcinnes/umap)
- Matplotlib (matplotlib/matplotlib)
- Seaborn (mwaskom/seaborn)
- Stable Baselines3 (DLR-RM/stable-baselines3)
- RLlib (ray-project/ray)
AI recommended 18 alternatives but never named araffin/robotics-rl-srl. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat frameworks provide robust reinforcement learning algorithms for robotics simulation environments?you: not recommendedAI recommended (in order):
- RLlib (ray-project/ray)
- Stable Baselines3 (DLR-RM/stable-baselines3)
- OpenAI Baselines (openai/baselines)
- Tianshou (thu-ml/tianshou)
- ACME (deepmind/acme)
AI recommended 5 alternatives but never named araffin/robotics-rl-srl. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of araffin/robotics-rl-srl?passAI named araffin/robotics-rl-srl explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts araffin/robotics-rl-srl in production, what risks or prerequisites should they evaluate first?passAI named araffin/robotics-rl-srl explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo araffin/robotics-rl-srl solve, and who is the primary audience?passAI named araffin/robotics-rl-srl explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
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- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite