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Reinforcement Learning of Theorem Proving

Reinforcement Learning of Theorem Proving

19 May 2018
C. Kaliszyk
Josef Urban
Henryk Michalewski
Miroslav Olsák
ArXiv (abs)PDFHTML

Papers citing "Reinforcement Learning of Theorem Proving"

50 / 51 papers shown
Title
Study and improvement of search algorithms in two-players perfect information games
Study and improvement of search algorithms in two-players perfect information games
Quentin Cohen-Solal
32
1
0
06 May 2025
Efficient Neural Clause-Selection Reinforcement
Efficient Neural Clause-Selection Reinforcement
Martin Suda
97
0
0
10 Mar 2025
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis
Julian Parsert
Elizabeth Polgreen
61
4
0
13 Jul 2023
Lemmas: Generation, Selection, Application
Lemmas: Generation, Selection, Application
Michael Rawson
C. Wernhard
Zsolt Zombori
W. Bibel
65
7
0
10 Mar 2023
Safety without alignment
Safety without alignment
András Kornai
M. Bukatin
Zsolt Zombori
LLMSV
55
0
0
27 Feb 2023
Alien Coding
Alien Coding
Thibault Gauthier
Miroslav Olsák
J. Urban
74
8
0
27 Jan 2023
Learning to solve arithmetic problems with a virtual abacus
Learning to solve arithmetic problems with a virtual abacus
Flavio Petruzzellis
Ling-Hao Chen
Alberto Testolin
74
1
0
17 Jan 2023
Peano: Learning Formal Mathematical Reasoning
Peano: Learning Formal Mathematical Reasoning
Gabriel Poesia
Noah D. Goodman
LRM
85
21
0
29 Nov 2022
Genetic Algorithm for Program Synthesis
Genetic Algorithm for Program Synthesis
Yutaka Nagashima
74
1
0
22 Nov 2022
Machine Learning Meets The Herbrand Universe
Machine Learning Meets The Herbrand Universe
Jelle Piepenbrock
Josef Urban
Konstantin Korovin
Miroslav Olvsák
Tom Heskes
Mikolávs Janota
NAI
55
3
0
07 Oct 2022
Project proposal: A modular reinforcement learning based automated
  theorem prover
Project proposal: A modular reinforcement learning based automated theorem prover
Boris Shminke
64
1
0
06 Sep 2022
Learning to Prove Trigonometric Identities
Learning to Prove Trigonometric Identities
Zhouwu Liu
Yujun Li
Zhengying Liu
Lin Li
Zheng Li
66
3
0
14 Jul 2022
Solving Quantitative Reasoning Problems with Language Models
Solving Quantitative Reasoning Problems with Language Models
Aitor Lewkowycz
Anders Andreassen
David Dohan
Ethan Dyer
Henryk Michalewski
...
Theo Gutman-Solo
Yuhuai Wu
Behnam Neyshabur
Guy Gur-Ari
Vedant Misra
ReLMELMLRM
247
865
0
29 Jun 2022
Simplifying Polylogarithms with Machine Learning
Simplifying Polylogarithms with Machine Learning
Aurélien Dersy
M. Schwartz
Xiao-Yan Zhang
AI4CE
210
16
0
08 Jun 2022
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Andrew C. Li
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRLLRM
39
4
0
03 Jun 2022
Learning to Find Proofs and Theorems by Learning to Refine Search
  Strategies: The Case of Loop Invariant Synthesis
Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis
Jonathan Laurent
André Platzer
107
9
0
27 May 2022
HyperTree Proof Search for Neural Theorem Proving
HyperTree Proof Search for Neural Theorem Proving
Guillaume Lample
Marie-Anne Lachaux
Thibaut Lavril
Xavier Martinet
Amaury Hayat
Gabriel Ebner
Aurelien Rodriguez
Timothée Lacroix
AIMat
98
151
0
23 May 2022
The Isabelle ENIGMA
The Isabelle ENIGMA
Z. Goertzel
Jan Jakubruv
C. Kaliszyk
Miroslav Olvsák
Jelle Piepenbrock
Josef Urban
AIMat
44
13
0
04 May 2022
Adversarial Learning to Reason in an Arbitrary Logic
Adversarial Learning to Reason in an Arbitrary Logic
Stanislaw J. Purgal
C. Kaliszyk
64
1
0
06 Apr 2022
Integration of knowledge and data in machine learning
Integration of knowledge and data in machine learning
Yuntian Chen
Dongxiao Zhang
PINN
93
34
0
15 Feb 2022
Proving Theorems using Incremental Learning and Hindsight Experience
  Replay
Proving Theorems using Incremental Learning and Hindsight Experience Replay
Eser Aygun
Laurent Orseau
Ankit Anand
Xavier Glorot
Vlad Firoiu
Lei M. Zhang
Doina Precup
Shibl Mourad
CLLLRM
104
18
0
20 Dec 2021
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and
  Opportunities for Solving Math Word Problems
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems
Keyur Faldu
A. Sheth
Prashant Kikani
Manas Gaur
Aditi Avasthi
LRM
62
17
0
29 Oct 2021
Learning Heuristics for Template-based CEGIS of Loop Invariants with
  Reinforcement Learning
Learning Heuristics for Template-based CEGIS of Loop Invariants with Reinforcement Learning
Minchao Wu
Takeshi Tsukada
Hiroshi Unno
Taro Sekiyama
Kohei Suenaga
89
0
0
16 Jul 2021
Fast and Slow Enigmas and Parental Guidance
Fast and Slow Enigmas and Parental Guidance
Z. Goertzel
Karel Chvalovský
Jan Jakubuv
Miroslav Olsák
Josef Urban
78
11
0
14 Jul 2021
Contrastive Reinforcement Learning of Symbolic Reasoning Domains
Contrastive Reinforcement Learning of Symbolic Reasoning Domains
Gabriel Poesia
Wenxin Dong
Noah D. Goodman
169
19
0
16 Jun 2021
Learning to Guide a Saturation-Based Theorem Prover
Learning to Guide a Saturation-Based Theorem Prover
Ibrahim Abdelaziz
Mayank Agarwal
B. Makni
Vernon Austil
Cristina Cornelio
...
Pavan Kapanipathi
Ndivhuwo Makondo
Kavitha Srinivas
Michael Witbrock
Achille Fokoue
54
17
0
07 Jun 2021
Proof Artifact Co-training for Theorem Proving with Language Models
Proof Artifact Co-training for Theorem Proving with Language Models
Jesse Michael Han
Jason M. Rute
Yuhuai Wu
Edward W. Ayers
Stanislas Polu
AIMat
117
127
0
11 Feb 2021
INT: An Inequality Benchmark for Evaluating Generalization in Theorem
  Proving
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving
Yuhuai Wu
Albert Qiaochu Jiang
Jimmy Ba
Roger C. Grosse
AIMat
105
55
0
06 Jul 2020
Learning to Prove from Synthetic Theorems
Learning to Prove from Synthetic Theorems
Eser Aygun
Zafarali Ahmed
Ankit Anand
Vlad Firoiu
Xavier Glorot
Laurent Orseau
Doina Precup
Shibl Mourad
NAI
70
20
0
19 Jun 2020
Neural heuristics for SAT solving
Neural heuristics for SAT solving
Sebastian Jaszczur
M. Luszczyk
Henryk Michalewski
NAI
51
12
0
27 May 2020
Prolog Technology Reinforcement Learning Prover
Prolog Technology Reinforcement Learning Prover
Zsolt Zombori
Josef Urban
C. Brown
OffRL
60
14
0
15 Apr 2020
Tactic Learning and Proving for the Coq Proof Assistant
Tactic Learning and Proving for the Coq Proof Assistant
Lasse Blaauwbroek
Josef Urban
H. Geuvers
114
24
0
20 Mar 2020
Stateful Premise Selection by Recurrent Neural Networks
Stateful Premise Selection by Recurrent Neural Networks
Bartosz Piotrowski
Josef Urban
LRM
56
21
0
11 Mar 2020
Learning to Prove Theorems by Learning to Generate Theorems
Learning to Prove Theorems by Learning to Generate Theorems
Mingzhe Wang
Jia Deng
NAI
132
50
0
17 Feb 2020
An Experimental Study of Formula Embeddings for Automated Theorem
  Proving in First-Order Logic
An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic
Ibrahim Abdelaziz
Veronika Thost
Mayank Agarwal
Achille Fokoue
63
6
0
02 Feb 2020
From Shallow to Deep Interactions Between Knowledge Representation,
  Reasoning and Machine Learning (Kay R. Amel group)
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
Zied Bouraoui
Antoine Cornuéjols
Thierry Denoeux
Sebastien Destercke
Didier Dubois
...
Jérôme Mengin
H. Prade
Steven Schockaert
M. Serrurier
Christel Vrain
128
14
0
13 Dec 2019
Property Invariant Embedding for Automated Reasoning
Property Invariant Embedding for Automated Reasoning
Miroslav Olsák
C. Kaliszyk
Josef Urban
NAI
69
41
0
27 Nov 2019
Deep Reinforcement Learning for Synthesizing Functions in Higher-Order
  Logic
Deep Reinforcement Learning for Synthesizing Functions in Higher-Order Logic
Thibault Gauthier
51
13
0
25 Oct 2019
Learning dynamic polynomial proofs
Learning dynamic polynomial proofs
Alhussein Fawzi
Mateusz Malinowski
Hamza Fawzi
Omar Fawzi
61
17
0
04 Jun 2019
Towards Finding Longer Proofs
Towards Finding Longer Proofs
Zsolt Zombori
Adrián Csiszárik
Henryk Michalewski
C. Kaliszyk
Josef Urban
OffRLLRM
83
16
0
30 May 2019
Learning to Reason in Large Theories without Imitation
Learning to Reason in Large Theories without Imitation
Kshitij Bansal
Christian Szegedy
M. Rabe
Sarah M. Loos
Viktor Toman
NAILRM
107
42
0
25 May 2019
ENIGMAWatch: ProofWatch Meets ENIGMA
ENIGMAWatch: ProofWatch Meets ENIGMA
Z. Goertzel
Jan Jakubuv
Josef Urban
61
16
0
23 May 2019
Learning to Prove Theorems via Interacting with Proof Assistants
Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang
Jia Deng
AIMatLRM
112
147
0
21 May 2019
On Learning to Prove
On Learning to Prove
Daniel Huang
57
3
0
24 Apr 2019
HOList: An Environment for Machine Learning of Higher-Order Theorem
  Proving
HOList: An Environment for Machine Learning of Higher-Order Theorem Proving
Kshitij Bansal
Sarah M. Loos
M. Rabe
Christian Szegedy
S. Wilcox
AIMat
92
51
0
05 Apr 2019
Hammering Mizar by Learning Clause Guidance
Hammering Mizar by Learning Clause Guidance
Jan Jakubuv
Josef Urban
68
46
0
02 Apr 2019
ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for
  E
ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for E
Karel Chvalovský
Jan Jakubuv
Martin Suda
Josef Urban
65
65
0
07 Mar 2019
Automated Theorem Proving in Intuitionistic Propositional Logic by Deep
  Reinforcement Learning
Automated Theorem Proving in Intuitionistic Propositional Logic by Deep Reinforcement Learning
M. Kusumoto
Keisuke Yahata
Masahiro Sakai
AIMatLRM
61
11
0
02 Nov 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
194
144
0
15 Oct 2018
Learning Heuristics for Quantified Boolean Formulas through Deep
  Reinforcement Learning
Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning
Gil Lederman
M. Rabe
Edward A. Lee
Sanjit A. Seshia
89
38
0
20 Jul 2018
12
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