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

• WindyLee0822 / Process_Q_Model
  official implementation of paper "Process Reward Model with Q-value Rankings"
  ☆65Updated 10 months ago
• jwhj / OREO
  ☆116Updated 11 months ago
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆112Updated 11 months ago
• facebookresearch / sweet_rl
  Benchmark and research code for the paper SWEET-RL Training Multi-Turn LLM Agents onCollaborative Reasoning Tasks
  ☆254Updated 7 months ago
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆70Updated last year
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆112Updated 5 months ago
• sanjibanc / agent_prm
  ☆50Updated 10 months ago
• PRIME-RL / ImplicitPRM
  Repo of paper "Free Process Rewards without Process Labels"
  ☆168Updated 9 months ago
• NVlabs / Tool-N1
  ☆213Updated 6 months ago
• CMU-AIRe / MRT
  Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".
  ☆114Updated 4 months ago
• knoveleng / open-rs
  Official repo for paper: "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't"
  ☆270Updated 2 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆86Updated 9 months ago
• mukhal / ThinkPRM
  Process Reward Models That Think
  ☆67Updated last month
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆70Updated 10 months ago
• sunblaze-ucb / Intuitor
  Code for the paper: "Learning to Reason without External Rewards"
  ☆383Updated 5 months ago
• LLM360 / Reasoning360
  A repo for open research on building large reasoning models
  ☆125Updated last week
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆118Updated 7 months ago
• zitian-gao / SC-MCTS
  Interpretable Contrastive Monte Carlo Tree Search Reasoning
  ☆48Updated last year
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆134Updated 9 months ago
• waterhorse1 / Natural-language-RL
  Natural Language Reinforcement Learning
  ☆101Updated 4 months ago
• ruixin31 / Spurious_Rewards
  ☆345Updated 5 months ago
• icip-cas / Verifier-Engineering
  Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  ☆63Updated last year
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆180Updated 5 months ago
• TIGER-AI-Lab / General-Reasoner
  General Reasoner: Advancing LLM Reasoning Across All Domains [NeurIPS25]
  ☆211Updated last month
• Interplay-LM-Reasoning / Interplay-LM-Reasoning
  ☆105Updated 2 weeks ago
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of Reinforcement Learning Scaling
  ☆182Updated 5 months ago
• ReasoningTransfer / Transferability-of-LLM-Reasoning
  ☆106Updated 2 weeks ago
• MLE-Dojo / MLE-Dojo
  ☆86Updated last month
• test-time-interaction / TTI
  ☆68Updated 6 months ago
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆86Updated 7 months ago