% Key papers for RL for LLM reasoning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2024_auto_22798, title = {{Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30069}, } @inproceedings{iclr2023_reward_31933, title = {{Reward Design with Language Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/10964}, } @inproceedings{iclr2025_training_81270, title = {{Training Language Models to Self-Correct via Reinforcement Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/30501}, } @inproceedings{icml2025_sft_47972, title = {{SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/44633}, } @inproceedings{aaai2026_ui_106509, title = {{UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38816}, } @inproceedings{icml2024_preference_44814, title = {{Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33638}, } @inproceedings{neurips2022_teacher_63748, title = {{Teacher Forcing Recovers Reward Functions for Text Generation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/53950}, } @inproceedings{neurips2025_group_77098, title = {{Group-in-Group Policy Optimization for LLM Agent Training}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=QXEhBMNrCW}, } @inproceedings{iclr2025_rewarding_81119, title = {{Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/30649}, } @inproceedings{aaai2025_erfsl_8879, title = {{ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract)}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/35316}, } @inproceedings{aaai2025_universal_11163, title = {{Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34681}, } @inproceedings{icml2024_archer_44798, title = {{ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33654}, } @inproceedings{icml2024_controlled_44813, title = {{Controlled Decoding from Language Models}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33639}, } @inproceedings{icml2024_training_45572, title = {{Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/32880}, } @inproceedings{neurips2025_segment_75591, title = {{Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=9osvTOYbT4}, } @inproceedings{aaai2021_adaptive_87, title = {{Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/12701-adaptive-prior-dependent-correction-enhanced-reinforcement-learning-for-natural-language-generation/}, } @inproceedings{icml2024_furl_43740, title = {{FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34712}, } @inproceedings{neurips2024_imitating_70535, title = {{Imitating Language via Scalable Inverse Reinforcement Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96578}, } @inproceedings{neurips2025_reinforcement_74713, title = {{Reinforcement Learning Finetunes Small Subnetworks in Large Language Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=0NdS4xCngO}, } @inproceedings{neurips2025_accelerating_77364, title = {{Accelerating RL for LLM Reasoning with Optimal Advantage Regression}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=T1V8BJO0iG}, } @inproceedings{neurips2025_llm_77555, title = {{LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=VA5P0rUZPx}, } @inproceedings{neurips2025_co_78019, title = {{Co-Reinforcement Learning for Unified Multimodal Understanding and Generation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=aDa0xEFDu1}, } @inproceedings{iclr2026_the_85510, title = {{The Art of Scaling Reinforcement Learning Compute for LLMs}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=FMjeC9Msws}, }