HHHHHejia/Awesome-AgenticLLM-RL-Papers resource
None observed · 2026-08-28
Health v2 · maintenance only
57/100
- Activity 88
- Release rhythm 35
- Longevity 26
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 369
- days_rel: n/a
- days_push: 76
- n_releases_24m: 0
Adoption not part of the score
1874 stars · 85 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated paper list accompanying the survey 'The Landscape of Agentic Reinforcement Learning for LLMs', cataloguing RL algorithms (PPO, DPO families and beyond) for agentic LLM training. It organizes methods by objective type, mechanisms, and links to papers and code.
Use cases
- find papers on reinforcement learning for LLM agents
- survey of agentic RL algorithms like PPO and DPO
- research reading list for LLM RL training
- compare RLHF and preference optimization methods
- locate code implementations of agentic RL algorithms
- background reading for training LLM agents with RL
When to choose
- you need a curated, survey-backed reading list on agentic RL for LLMs
- you want quick comparisons of RL algorithm variants with paper and code links
When to avoid
- you need runnable training code rather than a paper index
- you want a tool or library rather than research references
Facets
learning-resource · maturity active
machine-learning reinforcement-learning llm-training agent-framework reinforcement-learning large-language-models machine-learning tutorials awesome-lists survey papers awesome-list agentic-rl ppo dpo research ai-agents web-server
1 source
- readme: https://github.com/HHHHHejia/Awesome-AgenticLLM-RL-Papers · fetched 2026-08-28 · 774ec0883017
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| HHHHHejia/Awesome-AgenticLLM-RL-Papers | main | 57 |
For agents
markdown · JSON · MCP: product_card(name="HHHHHejia/Awesome-AgenticLLM-RL-Papers")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem