NanoGoal-RL
A goal-conditioned reinforcement learning project where a simulated 2D nanorobot learns to reach various target positions, showcasing autonomous decision-making, trajectory optimization, and RL in robotics-inspired environments
What XERJ indexed
Snapshot
The whole repository at commit ea3744d096. It is the newest commit on main.
Selected work
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-30. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
goal-conditioned-rlgymnasiumrlroboticssimulationaipposeeded-determinism
Example questions
- How does NanoGoal-RL implement goal-conditioned-rl?
- Show the gymnasium code in NanoGoal-RL.
Inside the indexed corpus
- 121 files, 46.8 MB in total, about 395.7 KB per file.
- On GitHub since 2025-12-27, last push 2026-10-23, 231 commits on main.
Licence on GitHub and in the corpus
GitHub reported MIT for Josh012006/NanoGoal-RL on 2026-10-31, and the LICENSE file at commit ea3744d096 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Josué MONGAN (@Josh012006) has 2 selected repositories on the hub.
Their other repository pages: Josh012006/CIB-IRL.
Using XERJ with NanoGoal-RL
- Search an OpenAPI spec so an agent can find endpoints The hub files it under API design and specification.
- ripgrep vs a code index for coding agents: 30 tasks
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The prompt
Paste it into your AI agent. It clones Josh012006/NanoGoal-RL at the pinned commit and indexes it on your machine.
Search the GitHub repository Josh012006/NanoGoal-RL with XERJ (https://hub.xerj.org/corpus/josh012006--nanogoal-rl). 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/Josh012006/NanoGoal-RL NanoGoal-RL && git -C NanoGoal-RL checkout ea3744d0960a3bb2089124571b542c680a5b102f 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./NanoGoal-RL --url http://127.0.0.1:9200 --prefix nanogoal-rl --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.
Related
Josué MONGANAPI design and specification corporaplan-and-actsynthearyeggouti/stork-flightFreudArthur/RL-Gamescyberbotics/webots
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.