Ross ROSS = Recommend OSS · open-source software intelligence for agents

HHHHHejia/Awesome-AgenticLLM-RL-Papers resource

None observed · 2026-08-28

github.com/HHHHHejia/Awesome-AgenticLLM-RL-Papers 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
HHHHHejia/Awesome-AgenticLLM-RL-Papersmain57

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