REPOGEO REPORT · LITE
kzl/decision-transformer
Default branch master · commit e2d82e68 · scanned 5/9/2026, 3:53:33 PM
GitHub: 2,798 stars · 516 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 kzl/decision-transformer, 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.
- hightopics#1Add relevant topics for categorization
Why:
COPY-PASTE FIXreinforcement-learning, transformer, sequence-modeling, deep-learning, offline-rl, atari, openai-gym
- mediumreadme#2Enhance README H1 for immediate context
Why:
CURRENT# Decision Transformer
COPY-PASTE FIX# Decision Transformer: Official Codebase for Reinforcement Learning via Sequence Modeling
- lowhomepage#3Add arXiv paper link as repository homepage
Why:
COPY-PASTE FIXhttps://arxiv.org/abs/2106.01345
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.
- Decision Transformer (DT) · recommended 1×
- Gato (DeepMind's Generalist Agent) · recommended 1×
- Perceiver IO (DeepMind) · recommended 1×
- DreamerV3 (Dreamer family of algorithms) · recommended 1×
- Transformer-XL / Compressive Transformer · recommended 1×
- CATEGORY QUERYHow to apply transformer architectures for sequential decision-making in reinforcement learning tasks?you: not recommendedAI recommended (in order):
- Decision Transformer (DT)
- Gato (DeepMind's Generalist Agent)
- Perceiver IO (DeepMind)
- DreamerV3 (Dreamer family of algorithms)
- Transformer-XL / Compressive Transformer
- Masked Autoencoders (MAE) for RL (e.g., Masked Autoencoders for Reinforcement Learning - MARL)
- Multi-Agent Transformer (MAT)
AI recommended 7 alternatives but never named kzl/decision-transformer. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are effective methods for offline reinforcement learning using sequence modeling?you: not recommendedAI recommended (in order):
- Decision Transformer
- Implicit Behavioral Cloning
- Trajectory Transformer
- Gato
- Masked Autoencoders for RL
- State-Action-Reward Transformer
AI recommended 6 alternatives but never named kzl/decision-transformer. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- 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 kzl/decision-transformer?passAI named kzl/decision-transformer explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts kzl/decision-transformer in production, what risks or prerequisites should they evaluate first?passAI named kzl/decision-transformer 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 kzl/decision-transformer solve, and who is the primary audience?passAI named kzl/decision-transformer explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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kzl/decision-transformer — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite