Murray Campbell

Publication Activity (10 Years)

Years Active: 1981-2024
Publications (10 Years): 56

Top Topics

Reinforcement Learning

Question Answering

Top Venues

Publications

Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. EACL (1) (2024)
Takuya Ito, Soham Dan, Mattia Rigotti, James Kozloski, Murray Campbell
On the generalization capacity of neural networks during generic multimodal reasoning. CoRR (2024)
Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell
On the generalization capacity of neural networks during generic multimodal reasoning. ICLR (2024)
Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. CoRR (2024)
Takuya Ito, Luca Cocchi, Tim Klinger, Parikshit Ram, Murray Campbell, Luke J. Hearne
The Importance of Positional Encoding Initialization in Transformers for Relational Reasoning. CoRR (2024)
Mo Yu, Yi Gu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. ACL (Findings) (2023)
Mo Yu, Xiaoxiao Guo, Yufei Feng, Yi Gu, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. CoRR (2022)
Yunfei Teng, Anna Choromanska, Murray Campbell, Songtao Lu, Parikshit Ram, Lior Horesh
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization. ECML/PKDD (1) (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments. NeSy (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. CoRR (2022)
Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Tim Klinger, Murray Campbell, Shirin Sohrabi, Gerald Tesauro
AI Planning Annotation for Sample Efficient Reinforcement Learning. CoRR (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Thinking Fast and Slow in AI: The Role of Metacognition. LOD (2) (2022)
Katy Ilonka Gero, Zahra Ashktorab, Casey Dugan, Qian Pan, James Johnson, Werner Geyer, Maria Ruiz, Sarah Miller, David R. Millen, Murray Campbell, Sadhana Kumaravel, Wei Zhang
Mental Models of AI Agents in a Cooperative Game Setting (Extended Abstract). IJCAI (2021)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Thinking Fast and Slow in AI: the Role of Metacognition. CoRR (2021)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. TFSOCTAI@AAAI Fall Symposium (2021)
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations. ACL/IJCNLP (2) (2021)
Zahra Ashktorab, Casey Dugan, James Johnson, Qian Pan, Wei Zhang, Sadhana Kumaravel, Murray Campbell
Effects of Communication Directionality and AI Agent Differences in Human-AI Interaction. CHI (2021)
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. AAAI (2021)
Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. Canadian Conference on AI (2021)
Wei Zhang, Murray Campbell, Yang Yu, Sadhana Kumaravel
Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning. AAAI (2021)
Yunfei Teng, Anna Choromanska, Murray Campbell
Continual learning with direction-constrained optimization. CoRR (2020)
Tim Klinger, Dhaval Adjodah, Vincent Marois, Josh Joseph, Matthew Riemer, Alex 'Sandy' Pentland, Murray Campbell
A Study of Compositional Generalization in Neural Models. CoRR (2020)
Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell
Deriving Commonsense Inference Tasks from Interactive Fictions. CoRR (2020)
Wei Zhang, Murray Campbell, Yang Yu, Sadhana Kumaravel
Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning. CoRR (2020)
Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. CoRR (2020)
Katy Ilonka Gero, Zahra Ashktorab, Casey Dugan, Qian Pan, James Johnson, Werner Geyer, Maria Ruiz, Sarah Miller, David R. Millen, Murray Campbell, Sadhana Kumaravel, Wei Zhang
Mental Models of AI Agents in a Cooperative Game Setting. CHI (2020)
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. CoRR (2020)
Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. CoRR (2020)
Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. EMNLP (1) (2020)
Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
Learning Hierarchical Teaching Policies for Cooperative Agents. AAMAS (2020)
Zahra Ashktorab, Q. Vera Liao, Casey Dugan, James Johnson, Qian Pan, Wei Zhang, Sadhana Kumaravel, Murray Campbell
Human-AI Collaboration in a Cooperative Game Setting: Measuring Social Perception and Outcomes. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Michael Hind, Dennis Wei, Murray Campbell, Noel C. F. Codella, Amit Dhurandhar, Aleksandra Mojsilovic, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
TED: Teaching AI to Explain its Decisions. AIES (2019)
Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
Hybrid Reinforcement Learning with Expert State Sequences. CoRR (2019)
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. IJCAI (2019)
Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. CoRR (2019)
Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. MRQA@EMNLP (2019)
Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
Hybrid Reinforcement Learning with Expert State Sequences. AAAI (2019)
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning. CoRR (2019)
Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. CoRR (2019)
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Teaching AI agents ethical values using reinforcement learning and policy orchestration. IBM J. Res. Dev. 63 (4/5) (2019)
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
Learning to Teach in Cooperative Multiagent Reinforcement Learning. AAAI (2019)
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration. CoRR (2018)
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
TED: Teaching AI to Explain its Decisions. CoRR (2018)
Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell
Eigenoption Discovery through the Deep Successor Representation. ICLR (Poster) (2018)
Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. ICLR (Poster) (2018)
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
Teaching Meaningful Explanations. CoRR (2018)
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
Learning to Teach in Cooperative Multiagent Reinforcement Learning. CoRR (2018)
Tian Gao, Kshitij P. Fadnis, Murray Campbell
Local-to-Global Bayesian Network Structure Learning. ICML (2017)
Miao Liu, Marlos C. Machado, Gerald Tesauro, Murray Campbell
The Eigenoption-Critic Framework. CoRR (2017)
Tathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis, Murray Campbell, Subbarao Kambhampati
UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS. AAAI (2017)
Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell
Eigenoption Discovery through the Deep Successor Representation. CoRR (2017)
Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. CoRR (2017)
Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Joseph P. Bigus, Murray Campbell, Ban Kawas, Kartik Talamadupula, Gerry Tesauro, Satinder Singh
Learning to Query, Reason, and Answer Questions On Ambiguous Texts. ICLR (Poster) (2017)
Chuck Howell, Frank Stein, Scott Kordella, Lashon B. Booker, Ed Rockower, Hamid Motahari, Murray Campbell, Jim Spohrer
Cognitive Assistance in Government and Public Sector Applications. Künstliche Intell. 30 (3-4) (2016)
Tathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis, Murray Campbell, Subbarao Kambhampati
UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS. CoRR (2016)
Sam S. Adams, Guruduth Banavar, Murray Campbell
I-athlon: Towards A Multidimensional Turing Test. AI Mag. 37 (1) (2016)
Joseph P. Bigus, Murray Campbell, Boaz Carmeli, Melissa Cefkin, Henry Chang, Ching-Hua Chen-Ritzo, William F. Cody, Shahram Ebadollahi, Alexandre V. Evfimievski, Ariel Farkash, Susanne Glissmann, David Gotz, Tyrone Grandison, Daniel Gruhl, Peter J. Haas, Mark J. H. Hsiao, Pei-Yun Sabrina Hsueh, Jianying Hu, Joseph M. Jasinski, James H. Kaufman, Cheryl A. Kieliszewski, Martin S. Kohn, Sarah E. Knoop, Paul P. Maglio, Ronald L. Mak, Haim Nelken, Chalapathy Neti, Hani Neuvirth, Yue Pan, Yardena Peres, Sreeram Ramakrishnan, Michal Rosen-Zvi, Sondra R. Renly, Pat Selinger, Amnon Shabo, Robert Sorrentino, Jimeng Sun, Tanveer Fathima Syeda-Mahmood, Wang Chiew Tan, Ying Y. Y. Tao, Reza Yaesoubi, Xinxin Zhu
Information technology for healthcare transformation. IBM J. Res. Dev. 55 (5) (2011)
Mark Kahrs, David Skulina, Stefan Bilbao, Murray Campbell
An Electroacoustically Controlled Vibrating Plate. NIME (2009)
Rong Yan, Apostol Natsev, Murray Campbell
Hybrid Tagging and Browsing Approaches for Efficient Manual Image Annotation. IEEE Multim. 16 (2) (2009)
Lexing Xie, Hari Sundaram, Murray Campbell
Event Mining in Multimedia Streams. Proc. IEEE 96 (4) (2008)
Rong Yan, Apostol Natsev, Murray Campbell
A learning-based hybrid tagging and browsing approach for efficient manual image annotation. CVPR (2008)
Rong Yan, Apostol Natsev, Murray Campbell
Multi-query interactive image and video retrieval -: theory and practice. CIVR (2008)
Matthew L. Hill, Murray Campbell, Yuan-Chi Chang, Vijay S. Iyengar
Event detection in sensor networks for modern oil fields. DEBS (2008)
Murray Campbell, Alexander Haubold, Ming Liu, Apostol Natsev, John R. Smith, Jelena Tesic, Lexing Xie, Rong Yan, Jun Yang
IBM Research TRECVID-2007 Video Retrieval System. TRECVID (2007)
Rong Yan, Apostol Natsev, Murray Campbell
An efficient manual image annotation approach based on tagging and browsing. MS (2007)
Murray Campbell, Alexander Haubold, Shahram Ebadollahi, Dhiraj Joshi, Milind R. Naphade, Apostol Natsev, Joachim Seidl, John R. Smith, Katya Scheinberg, Jelena Tesic, Lexing Xie
IBM Research TRECVID-2006 Video Retrieval System. TRECVID (2006)
David L. Buckeridge, Howard S. Burkom, Murray Campbell, William R. Hogan, Andrew W. Moore
Algorithms for rapid outbreak detection: a research synthesis. J. Biomed. Informatics 38 (2) (2005)
Arnon Amir, Janne Argillander, Murray Campbell, Alexander Haubold, Giridharan Iyengar, Shahram Ebadollahi, Feng Kang, Milind R. Naphade, Apostol Natsev, John R. Smith, Jelena Tesic, Timo Volkmer
IBM Research TRECVID-2005 Video Retrieval System. TRECVID (2005)
Chung-Sheng Li, Charu C. Aggarwal, Murray Campbell, Yuan-Chi Chang, Gregory Glass, Vijay S. Iyengar, Mahesh Joshi, Ching-Yung Lin, Milind R. Naphade, John R. Smith, Belle L. Tseng, Min Wang, Kun-Lung Wu, Philip S. Yu
Epi-SPIRE: a system for environmental and public health activity monitoring. ICME (2003)
Murray Campbell, A. Joseph Hoane Jr., Feng-Hsiung Hsu
Deep Blue. Artif. Intell. 134 (1-2) (2002)
Vijay S. Iyengar, Jon Lee, Murray Campbell
Evaluating multiple attribute items using queries. EC (2001)
Murray Campbell
Knowledge Discovery in Deep Blue. Commun. ACM 42 (11) (1999)
Feng-Hsiung Hsu, Murray Campbell, A. Joseph Hoane Jr.
Deep Blue System Overview. International Conference on Supercomputing (1995)
Murray Campbell
Reviews. J. Int. Comput. Games Assoc. 14 (3) (1991)
Thomas S. Anantharaman, Murray Campbell, Feng-Hsiung Hsu
Singular Extensions: Adding Selectivity to Brute-Force Searching. Artif. Intell. 43 (1) (1990)
Hans J. Berliner, Gordon Goetsch, Murray Campbell, Carl Ebeling
Measuring the Performance Potential of Chess Programs. Artif. Intell. 43 (1) (1990)
Murray Campbell
The Sixth World Computer-Chess Championship. New Directions in Game-Tree Search. J. Int. Comput. Games Assoc. 12 (2) (1989)
Murray Campbell, Feng-Hsiung Hsu, Gordon Goetsch
Report on the 1988 Fredkin Masters Open. J. Int. Comput. Games Assoc. 11 (2-3) (1988)
Thomas S. Anantharaman, Murray Campbell, Feng-Hsiung Hsu
Singular Extensions: Adding Selectivity to Brute-Force Searching. J. Int. Comput. Games Assoc. 11 (4) (1988)
Murray Campbell
The graph-history interaction: on ignoring position history. ACM Annual Conference (1985)
Hans J. Berliner, Murray Campbell
Using Chunking to Solve Chess Pawn Endgames. Artif. Intell. 23 (1) (1984)
Murray Campbell, T. Anthony Marsland
A Comparison of Minimax Tree Search Algorithms. Artif. Intell. 20 (4) (1983)
Murray Campbell, Hans J. Berliner
A Chess Program That Chunks. AAAI (1983)
T. Anthony Marsland, Murray Campbell
Parallel Search of Strongly Ordered Game Trees. ACM Comput. Surv. 14 (4) (1982)
T. A. Marsland, Murray Campbell
A survey of enhancements to the alpha-beta algorithm. ACM Annual Conference (1981)