REPOGEO REPORT · LITE
xhyumiracle/Awesome-AgenticLLM-RL-Papers
Default branch main · commit 9b577322 · scanned 6/26/2026, 4:53:17 AM
GitHub: 1,822 stars · 80 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 xhyumiracle/Awesome-AgenticLLM-RL-Papers, 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 README's H1 and opening sentence to clarify content type
Why:
CURRENT# Awesome-AgenticLLM-RL-Papers This is the Official repo for the survey paper: The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
COPY-PASTE FIX# Awesome-AgenticLLM-RL-Papers: A Curated Collection of Research This repository serves as the official curated collection of research papers for the survey: "The Landscape of Agentic Reinforcement Learning for LLMs: A Survey."
- highabout#2Add a concise repository description
Why:
CURRENT(none)
COPY-PASTE FIXA comprehensive and curated list of research papers on Agentic Reinforcement Learning for Large Language Models (LLMs), accompanying a survey paper.
- hightopics#3Add relevant topics to improve categorization
Why:
CURRENT(none)
COPY-PASTE FIXagentic-llm, reinforcement-learning, llm, large-language-models, survey, research-papers, awesome-list, machine-learning, artificial-intelligence, nlp
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.
- Reinforcement Learning from Human Feedback: From Zero to ChatGPT · recommended 1×
- Decision Transformers: Reinforcement Learning via Sequence Modeling · recommended 1×
- Gato · recommended 1×
- Language Models as Zero-Shot Reinforcement Learners · recommended 1×
- SayCan: Grounding Language Models with Embodied Skills · recommended 1×
- CATEGORY QUERYWhere can I find a comprehensive overview of agentic reinforcement learning algorithms for language models?you: not recommendedAI recommended (in order):
- Reinforcement Learning from Human Feedback: From Zero to ChatGPT
- Decision Transformers: Reinforcement Learning via Sequence Modeling
- Gato
- Language Models as Zero-Shot Reinforcement Learners
- SayCan: Grounding Language Models with Embodied Skills
- NeurIPS
- ICML
- ICLR
- AAAI Conference Proceedings
- Hugging Face's Transformers
- Hugging Face's PEFT
- TRL library
- Awesome-LLM-Agents
- Awesome-RLHF
AI recommended 14 alternatives but never named xhyumiracle/Awesome-AgenticLLM-RL-Papers. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the latest research trends in applying reinforcement learning to develop intelligent language agents?you: not recommendedAI recommended (in order):
- GPT-3/4
- LLaMA
- PaLM 2
- DreamerV3
- ToolFormer
- ReAct
- ALFWorld
- AlphaCode
- AlphaGo
- InstructGPT
- ChatGPT
- Constitutional AI
- Direct Preference Optimization
- SayCan
- RT-1
- RT-2
AI recommended 16 alternatives but never named xhyumiracle/Awesome-AgenticLLM-RL-Papers. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
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 xhyumiracle/Awesome-AgenticLLM-RL-Papers?passAI did not name xhyumiracle/Awesome-AgenticLLM-RL-Papers — 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 xhyumiracle/Awesome-AgenticLLM-RL-Papers in production, what risks or prerequisites should they evaluate first?passAI named xhyumiracle/Awesome-AgenticLLM-RL-Papers 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 xhyumiracle/Awesome-AgenticLLM-RL-Papers solve, and who is the primary audience?passAI did not name xhyumiracle/Awesome-AgenticLLM-RL-Papers — 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?
Embed your GEO score
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xhyumiracle/Awesome-AgenticLLM-RL-Papers — 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