Hadis Arefanjazi
Hadis Arefanjazi's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.
Totals across every corpus @HadisArefanJazi appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.
What an agent can do with the adaptive-human-in-the-loop-llm-agent corpus
HadisArefanJazi/adaptive-human-in-the-loop-llm-agent: Resource-aware LLM agent that learns when to answer, retrieve, use a tool, or ask a human with PyTorch DQN
- Look up how adaptive-human-in-the-loop-llm-agent implements agentic-ai, dqn, human-in-the-loop, with answers cited to file and line.
- Reuse a worked example: the commit “Expand benchmark to 500 train and 200 test questions and refresh results” (11 files · Python).
- Answer from adaptive-human-in-the-loop-llm-agent's real Python source instead of memory (AI, prompts and agents).
- How does adaptive-human-in-the-loop-llm-agent implement agentic-ai?
- What does results do in adaptive-human-in-the-loop-llm-agent?
Search the GitHub repository HadisArefanJazi/adaptive-human-in-the-loop-llm-agent with XERJ (https://hub.xerj.org/corpus/hadisarefanjazi--adaptive-human-in-the-loop-llm-agent). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/HadisArefanJazi/adaptive-human-in-the-loop-llm-agent adaptive-human-in-the-loop-llm-agent && git -C adaptive-human-in-the-loop-llm-agent checkout c8154ac99b2b5ae69ab3033e8659e9c4b8a1065b 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./adaptive-human-in-the-loop-llm-agent --url http://127.0.0.1:9200 --prefix adaptive-human-in-the-lo --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
corpus hadisarefanjazi--adaptive-human-in-the-loop-llm-agent · AI, prompts and agents
Related corpora: anything-llm, fastrag, darshi1337/hermitlm, jzjzzzzzzz/agent-me
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
HadisArefanJazi/adaptive-human-in-the-loop-llm-agent
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/HadisArefanJazi)
Included with the author's permission (email, 2026-10-22), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.