Alternatives and similar repositories for Multi-Turn-RL-Agent

Users that are interested in Multi-Turn-RL-Agent are comparing it to the libraries listed below

• TIGER-AI-Lab / General-Reasoner
  General Reasoner: Advancing LLM Reasoning Across All Domains [NeurIPS25]
  ☆174Updated 3 months ago
• WindyLee0822 / Process_Q_Model
  official implementation of paper "Process Reward Model with Q-value Rankings"
  ☆63Updated 8 months ago
• mukhal / ThinkPRM
  Process Reward Models That Think
  ☆53Updated 3 months ago
• facebookresearch / sweet_rl
  Benchmark and research code for the paper SWEET-RL Training Multi-Turn LLM Agents onCollaborative Reasoning Tasks
  ☆245Updated 5 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆82Updated 6 months ago
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆111Updated 8 months ago
• jwhj / OREO
  ☆116Updated 8 months ago
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆172Updated 2 months ago
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆70Updated 11 months ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆111Updated 5 months ago
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of Reinforcement Learning Scaling
  ☆176Updated 2 months ago
• test-time-interaction / TTI
  ☆62Updated 3 months ago
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆85Updated 4 months ago
• ReasoningTransfer / Transferability-of-LLM-Reasoning
  ☆96Updated last month
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆128Updated 6 months ago
• vsubramaniam851 / multiagent-ft
  ☆217Updated 7 months ago
• TsinghuaC3I / SSRL
  SSRL: Self-Search Reinforcement Learning
  ☆145Updated last month
• PRIME-RL / ImplicitPRM
  Repo of paper "Free Process Rewards without Process Labels"
  ☆164Updated 6 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆65Updated 7 months ago
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆106Updated 2 months ago
• icip-cas / Verifier-Engineering
  Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  ☆61Updated 10 months ago
• NVlabs / Tool-N1
  ☆206Updated 4 months ago
• cmu-l3 / l1
  L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
  ☆256Updated 4 months ago
• CMU-AIRe / MRT
  Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".
  ☆107Updated 2 months ago
• knoveleng / open-rs
  Official repo for paper: "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't"
  ☆261Updated 4 months ago
• Berkeley-NLP / Agent-Eval-Refine
  Code for Paper: Autonomous Evaluation and Refinement of Digital Agents [COLM 2024]
  ☆145Updated 10 months ago
• ruixin31 / Spurious_Rewards
  ☆333Updated 2 months ago
• ypwang61 / One-Shot-RLVR
  [NeurIPS 2025] Reinforcement Learning for Reasoning in Large Language Models with One Training Example
  ☆360Updated this week
• MiniMax-AI / SynLogic
  The official repo of SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
  ☆165Updated 2 months ago
• sanjibanc / agent_prm
  ☆48Updated 7 months ago