Alert button
Picture for Alexander Gray

Alexander Gray

Alert button

A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making

Feb 21, 2024
Chitra Subramanian, Miao Liu, Naweed Khan, Jonathan Lenchner, Aporva Amarnath, Sarathkrishna Swaminathan, Ryan Riegel, Alexander Gray

Viaarxiv icon

Compositional Program Generation for Systematic Generalization

Sep 28, 2023
Tim Klinger, Luke Liu, Soham Dan, Maxwell Crouse, Parikshit Ram, Alexander Gray

Viaarxiv icon

Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning

Jul 05, 2023
Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray

Figure 1 for Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
Figure 2 for Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
Figure 3 for Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
Figure 4 for Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
Viaarxiv icon

MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types

Jun 18, 2023
Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray

Figure 1 for MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
Figure 2 for MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
Figure 3 for MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
Figure 4 for MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
Viaarxiv icon

Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency

May 31, 2023
Maxwell Crouse, Ramon Astudillo, Tahira Naseem, Subhajit Chaudhury, Pavan Kapanipathi, Salim Roukos, Alexander Gray

Figure 1 for Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
Figure 2 for Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
Figure 3 for Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
Figure 4 for Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
Viaarxiv icon

A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases

Jan 15, 2022
Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G P Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois Luus, L Venkata Subramaniam

Figure 1 for A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
Figure 2 for A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
Figure 3 for A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
Figure 4 for A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
Viaarxiv icon

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

Dec 06, 2021
Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander Gray

Figure 1 for Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Figure 2 for Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Figure 3 for Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Figure 4 for Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Viaarxiv icon

LOA: Logical Optimal Actions for Text-based Interaction Games

Oct 21, 2021
Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray

Figure 1 for LOA: Logical Optimal Actions for Text-based Interaction Games
Figure 2 for LOA: Logical Optimal Actions for Text-based Interaction Games
Figure 3 for LOA: Logical Optimal Actions for Text-based Interaction Games
Figure 4 for LOA: Logical Optimal Actions for Text-based Interaction Games
Viaarxiv icon

Neuro-Symbolic Reinforcement Learning with First-Order Logic

Oct 21, 2021
Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray

Figure 1 for Neuro-Symbolic Reinforcement Learning with First-Order Logic
Figure 2 for Neuro-Symbolic Reinforcement Learning with First-Order Logic
Figure 3 for Neuro-Symbolic Reinforcement Learning with First-Order Logic
Viaarxiv icon

SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases

Sep 28, 2021
Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G P Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme LimaRyan Riegel, Francois Luus, L Venkata Subramaniam

Figure 1 for SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases
Figure 2 for SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases
Figure 3 for SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases
Figure 4 for SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases
Viaarxiv icon