REPOGEO REPORT · LITE
jannerm/trajectory-transformer
Default branch master · commit 8834a6ed · scanned 6/14/2026, 5:37:41 PM
GitHub: 535 stars · 73 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 jannerm/trajectory-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 to the repository
Why:
COPY-PASTE FIXoffline-reinforcement-learning, sequence-modeling, transformers, deep-learning, reinforcement-learning, robotics, decision-making, imitation-learning, machine-learning
- mediumreadme#2Reposition the README H1 to explicitly state the repository's purpose
Why:
CURRENT# Trajectory Transformer Code release for Offline Reinforcement Learning as One Big Sequence Modeling Problem.
COPY-PASTE FIX# Trajectory Transformer: Official Code for Offline Reinforcement Learning as One Big Sequence Modeling Problem
- lowreadme#3Add a "What is Trajectory Transformer?" section to the README
Why:
COPY-PASTE FIX## What is the Trajectory Transformer? The Trajectory Transformer frames offline reinforcement learning as a sequence modeling problem. Instead of learning separate value functions or policies, it uses a Transformer architecture to directly predict optimal sequences of states, actions, and returns, enabling effective offline policy learning and planning.
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.
- Hugging Face Transformers · recommended 1×
- 🤗 Accelerate · recommended 1×
- Diffusers · recommended 1×
- PyTorch · recommended 1×
- PyTorch Lightning · recommended 1×
- CATEGORY QUERYHow to apply sequence modeling techniques for offline reinforcement learning tasks?you: not recommendedAI recommended (in order):
- Hugging Face Transformers
- 🤗 Accelerate
- Diffusers
- PyTorch
- PyTorch Lightning
- TensorFlow
- Keras
- RLlib
- Ray
- Minari
- Stable Baselines3
- Acme
- Launchpad
- JAX
AI recommended 14 alternatives but never named jannerm/trajectory-transformer. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the best transformer models for offline policy learning and planning?you: not recommendedAI recommended (in order):
- Decision Transformer
- Implicit Behavioral Cloning
- Trajectory Transformer
- Gato
- Perceiver IO
- DreamerV3
AI recommended 6 alternatives but never named jannerm/trajectory-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 jannerm/trajectory-transformer?passAI did not name jannerm/trajectory-transformer — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts jannerm/trajectory-transformer in production, what risks or prerequisites should they evaluate first?passAI named jannerm/trajectory-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 jannerm/trajectory-transformer solve, and who is the primary audience?passAI named jannerm/trajectory-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
Drop this badge into the README of jannerm/trajectory-transformer. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/jannerm/trajectory-transformer)<a href="https://repogeo.com/en/r/jannerm/trajectory-transformer"><img src="https://repogeo.com/badge/jannerm/trajectory-transformer.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
jannerm/trajectory-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