Alternatives and similar repositories for EVOL-RL

Users that are interested in EVOL-RL are comparing it to the libraries listed below

• zjunlp / LightThinker
  [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression
  ☆131Updated 9 months ago
• rookie-joe / AutoPSV
  ☆51Updated last year
• TianHongZXY / RLVR-Decomposed
  [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"
  ☆155Updated 3 months ago
• test-time-interaction / TTI
  ☆72Updated 7 months ago
• TingchenFu / MathIF
  instruction-following benchmark for large reasoning models
  ☆44Updated 5 months ago
• sail-sg / feedback-conditional-policy
  Code for "Language Models Can Learn from Verbal Feedback Without Scalar Rewards"
  ☆56Updated 3 weeks ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆120Updated 8 months ago
• rhyang2021 / ARIA
  Source code for our paper: "ARIA: Training Language Agents with Intention-Driven Reward Aggregation".
  ☆25Updated 5 months ago
• THU-KEG / RM-Bench
  [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
  ☆73Updated 6 months ago
• lukahhcm / Awesome_Environment_Scaling
  Resources and paper list for 'Scaling Environments for Agents'. This repository accompanies our survey on how environments contribute to …
  ☆57Updated this week
• hkust-nlp / mstar
  [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning
  ☆70Updated 6 months ago
• multimodal-art-projection / TreePO
  ☆59Updated 2 weeks ago
• KbsdJames / omni-math-rule
  The rule-based evaluation subset and code implementation of Omni-MATH
  ☆26Updated last year
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of Reinforcement Learning Scaling
  ☆182Updated 6 months ago
• ssmisya / PRMBench
  [ACL' 25] The official code repository for PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.
  ☆87Updated 11 months ago
• RM-R1-UIUC / RM-R1
  RM-R1: Unleashing the Reasoning Potential of Reward Models
  ☆156Updated 7 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆76Updated 3 months ago
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆83Updated last year
• TIGER-AI-Lab / General-Reasoner
  General Reasoner: Advancing LLM Reasoning Across All Domains [NeurIPS25]
  ☆214Updated 2 months ago
• RUCAIBox / R1-Searcher-plus
  R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning
  ☆71Updated 8 months ago
• NineAbyss / S2R
  This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"
  ☆73Updated 9 months ago
• ReasoningTransfer / Transferability-of-LLM-Reasoning
  ☆108Updated last month
• hkust-nlp / GUIMid
  ☆21Updated 8 months ago
• bobxwu / learning-from-rewards-llm-papers
  A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…
  ☆60Updated 7 months ago
• GAIR-NLP / weak-to-strong-reasoning
  ☆58Updated last year
• WangHanLinHenry / SPA-RL-Agent
  Official code for paper "SPA-RL: Reinforcing LLM Agent via Stepwise Progress Attribution"
  ☆62Updated 4 months ago
• RLHFlow / RAFT
  This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…
  ☆39Updated last year
• limenlp / verl
  AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
  ☆53Updated 7 months ago
• Kwai-Klear / RLEP
  RL with Experience Replay
  ☆54Updated 6 months ago
• sail-sg / AnytimeReasoner
  Optimizing Anytime Reasoning via Budget Relative Policy Optimization
  ☆51Updated 6 months ago