Who cites «Reinforcement Learning of Theorem Proving»
- Solving Quantitative Reasoning Problems with Language ModelsConference on Neural Information Processing Systems (NeurIPS)Aitor Lewkowycz, Anders Andreassen, David Dohan, et al.2022 · 992 citations
- DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic DataarXiv:2405.14333Huajian Xin, Daya Guo, Zhihong Shao, et al.2024 · 111 citations
- GamePad: A Learning Environment for Theorem ProvingarXiv:1806.00608Daniel Huang, Prafulla Dhariwal, Dawn Song, et al.2018 · 94 citations
- Learning to Prove Theorems via Interacting with Proof AssistantsarXiv:1905.09381Kaiyu Yang, Jia Deng2019 · 90 citations
- Goedel-Prover: A Frontier Model for Open-Source Automated Theorem ProvingarXiv:2502.07640Yong Lin, Shange Tang, Bohan Lyu, et al.2025 · 84 citations
- HOList: An Environment for Machine Learning of Higher-Order Theorem ProvingarXiv:1904.03241Kshitij Bansal, Sarah M. Loos, Markus N. Rabe, et al.2019 · 78 citations
- ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for ELecture notes in computer scienceKarel Chvalovský, Jan Jakubův, Martin Suda, et al.2019 · 61 citations
- Learning to Prove Theorems by Learning to Generate TheoremsarXiv:2002.07019Mingzhe Wang, Jia Deng2020 · 53 citations
- Formal Mathematical Reasoning: A New Frontier in AIarXiv:2412.16075Kaiyu Yang, Gabriel Poesia, Jingxuan He, et al.2024 · 49 citations
- A Survey on Deep Learning for Theorem ProvingarXiv:2404.09939Zhaoyu Li, Jialiang Sun, Logan Murphy, et al.2024 · 46 citations
- STP: Self-play LLM Theorem Provers with Iterative Conjecturing and ProvingarXiv:2502.00212Kefan Dong, Tengyu Ma2025 · 43 citations
- INT: An Inequality Benchmark for Evaluating Generalization in Theorem ProvingarXiv:2007.02924Yuhuai Wu, Albert Qiaochu Jiang, Jimmy Ba, et al.2020 · 41 citations
- Learning to Reason in Large Theories without ImitationarXiv:1905.10501Kshitij Bansal, Christian Szegedy, Markus N. Rabe, et al.2019 · 36 citations
- Property Invariant Embedding for Automated ReasoningFrontiers in artificial intelligence and applicationsMiroslav Olšák, Cezary Kaliszyk, Josef Urban2019 · 30 citations
- TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement LearningarXiv:2102.09756Minchao Wu, Michael Norrish, Christian Walder, et al.2021 · 24 citations
- LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN proverarXiv:2407.17227Zijian Wu, Jiayu Wang, Dahua Lin, et al.2024 · 23 citations
- Learning Formal Mathematics From Intrinsic MotivationConference on Neural Information Processing Systems (NeurIPS)Gabriel Poesia, David Broman, Nick Haber, et al.2024 · 23 citations
- Towards Finding Longer ProofsLecture notes in computer scienceZsolt Zombori, Adrián Csiszárik, Henryk Michalewski, et al.2019 · 21 citations
- Deep Reinforcement Learning for Synthesizing Functions in Higher-Order LogicEPiC series in computingThibault Gauthier2019 · 15 citations
- Guiding Inferences in Connection Tableau by Recurrent Neural NetworksLecture notes in computer scienceBartosz Piotrowski, Josef Urban2019 · 15 citations
- Prover Agent: An Agent-Based Framework for Formal Mathematical ProofsarXiv:2506.19923Kaito Baba, Chaoran Liu, Shuhei Kurita, et al.2025 · 14 citations
- Learning to Prove from Synthetic TheoremsarXiv:2006.11259Eser Aygün, Zafarali Ahmed, Ankit Anand, et al.2020 · 12 citations
- Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement LearningarXiv:1807.08058Gil Lederman, Markus N. Rabe, Edward A. Lee, et al.2018 · 12 citations
- AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and TreefinementarXiv:2412.06176Pranjal Aggarwal, Bryan Parno, Sean Welleck2024 · 11 citations
- Tandem Training for Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Robert West, Ashton Anderson, Ece Kamar, et al.2026
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