Sign inGet started
Repository · GitHub

Sheltercosmo/Rilldex-RL-Studio

RL observability for LLM agents: behavior maps, native trainer metrics, rollout investigations, and Python/SQL analysis.

OwnerSheltercosmo
Stars25
Forks7
Main languagePython
Created16 October 2026
Last updated at source21 October 2026
pythonagentic-aiai-agentsartificial-intelligencedata-visualizationdeep-learningexperiment-trackinggenerative-aigrpolarge-language-modelsllmllm-evaluationllm-observabilityllmopsmachine-learningmonitoringobservabilitypost-trainingreinforcement-learningreward-hackingrlhf
Embed this entry
<iframe src="https://silytics.si/embed/item/1f13f4c0-48c1-4e57-99c2-1c6698506538" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Stars, last 2 days

25 now (+2 since 2026-10-20). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 21 Oct 2026 Topics added ai-agents, artificial-intelligence, data-visualization, deep-learning, generative-ai, large-language-models, llm-evaluation, llm-observability, llmops, machine-learning, monitoring, observability, post-training, reward-hacking, rlhf removed agent-observability, behavior-analysis, ppo, rl-observability, rollouts, sqlite, training-monitoring, trl, verl

Changes detected by Silytics between refreshes of the source.

More from Sheltercosmo

Silytics shows public metadata from GitHub and links to the original. Information may be incomplete or out of date. Last refreshed 21 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.