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walkinglabs/hands-on-modern-rl
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
Latest metrics (snapshot 2026-10-14)
| stars | 4643 |
|---|---|
| forks | 335 |
| issues | 19 |
| pushed_at | 2026-10-01T11:39:50Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-14 | 4643 |
ADC Momentum: 49/100
| Growth velocity | 63 |
|---|---|
| Consistency | 50 |
| Recency | 52 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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Details
| description | 🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems. |
|---|---|
| url | https://github.com/walkinglabs/hands-on-modern-rl |
| language | Python |
| license | NOASSERTION |
| topics | agent agentic agentic-ai agentic-rl dpo grpo llm llm-alignment ppo pytorch reinforcement reinforcement-learning |
| created_at | 2026-04-10T01:25:58Z |
| homepage | https://walkinglabs.github.io/hands-on-modern-rl/ |
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