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Murray Campbell
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- affiliation: IBM Thomas J. Watson Research Center, NY, USA
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2020 – today
- 2024
- [c40]Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger:
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. EACL (1) 2024: 394-405 - [c39]Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell:
On the generalization capacity of neural networks during generic multimodal reasoning. ICLR 2024 - [i26]Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell:
On the generalization capacity of neural networks during generic multimodal reasoning. CoRR abs/2401.15030 (2024) - [i25]Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger:
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. CoRR abs/2403.10692 (2024) - [i24]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 abs/2406.08272 (2024) - 2023
- [c38]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: 11226-11238 - 2022
- [c37]Marianna Bergamaschi Ganapini, Murray Campbell
, Francesco Fabiano
Thinking Fast and Slow in AI: The Role of Metacognition. LOD (2) 2022: 502-509 - [c36]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: 171-185 - [c35]Yunfei Teng, Anna Choromanska, Murray Campbell, Songtao Lu, Parikshit Ram, Lior Horesh:
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization. ECML/PKDD (1) 2022: 675-692 - [i23]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 abs/2201.07050 (2022) - [i22]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 abs/2203.00669 (2022) - [i21]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 abs/2210.15456 (2022) - 2021
- [c34]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: 9018-9027 - [c33]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: 14472-14480 - [c32]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 - [c31]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: 719-725 - [c30]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 AI 2021 - [c29]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: 238:1-238:15 - [c28]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: 4770-4774 - [i20]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 abs/2110.01834 (2021) - 2020
- [j19]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): 96:1-96:20 (2020) - [c27]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: 620-628 - [c26]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: 1-12 - [c25]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: 7755-7765 - [i19]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 abs/2004.02393 (2020) - [i18]Tim Klinger, Dhaval Adjodah, Vincent Marois, Josh Joseph, Matthew Riemer, Alex 'Sandy' Pentland, Murray Campbell:
A Study of Compositional Generalization in Neural Models. CoRR abs/2006.09437 (2020) - [i17]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 abs/2010.02386 (2020) - [i16]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 abs/2010.03790 (2020) - [i15]Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell:
Deriving Commonsense Inference Tasks from Interactive Fictions. CoRR abs/2010.09788 (2020) - [i14]Yunfei Teng, Anna Choromanska, Murray Campbell:
Continual learning with direction-constrained optimization. CoRR abs/2011.12581 (2020) - [i13]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 abs/2012.01631 (2020)
2010 – 2019
- 2019
- [j18]Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei
Teaching AI agents ethical values using reinforcement learning and policy orchestration. IBM J. Res. Dev. 63(4/5): 2:1-2:9 (2019) - [c24]Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell:
Hybrid Reinforcement Learning with Expert State Sequences. AAAI 2019: 3739-3746 - [c23]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: 6128-6136 - [c22]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: 48-52 - [c21]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: 123-129 - [c20]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: 6377-6381 - [i12]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 abs/1903.03216 (2019) - [i11]Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell:
Hybrid Reinforcement Learning with Expert State Sequences. CoRR abs/1903.04110 (2019) - [i10]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 abs/1906.02299 (2019) - [i9]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 abs/1909.07597 (2019) - 2018
- [c19]Marlos C. Machado
Eigenoption Discovery through the Deep Successor Representation. ICLR (Poster) 2018 - [c18]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 - [i8]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 abs/1805.07830 (2018) - [i7]Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic:
Teaching Meaningful Explanations. CoRR abs/1805.11648 (2018) - [i6]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 abs/1809.08343 (2018) - [i5]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 abs/1811.04896 (2018) - 2017
- [c17]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: 4657-4663 - [c16]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 - [c15]Tian Gao, Kshitij P. Fadnis, Murray Campbell:
Local-to-Global Bayesian Network Structure Learning. ICML 2017: 1193-1202 - [i4]Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell:
Eigenoption Discovery through the Deep Successor Representation. CoRR abs/1710.11089 (2017) - [i3]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 abs/1711.05116 (2017) - [i2]Miao Liu, Marlos C. Machado, Gerald Tesauro, Murray Campbell:
The Eigenoption-Critic Framework. CoRR abs/1712.04065 (2017) - 2016
- [j17]Sam S. Adams, Guruduth Banavar, Murray Campbell:
I-athlon: Towards A Multidimensional Turing Test. AI Mag. 37(1): 78-84 (2016) - [j16]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): 347-348 (2016) - [i1]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 abs/1609.08524 (2016) - 2011
- [j15]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
Information technology for healthcare transformation. IBM J. Res. Dev. 55(5): 6 (2011)
2000 – 2009
- 2009
- [j14]Rong Yan, Apostol Natsev, Murray Campbell:
Hybrid Tagging and Browsing Approaches for Efficient Manual Image Annotation. IEEE Multim. 16(2): 26-41 (2009) - [c14]Mark Kahrs, David Skulina, Stefan Bilbao, Murray Campbell:
An Electroacoustically Controlled Vibrating Plate. NIME 2009: 106-109 - [p1]Rong Yan, Apostol Natsev, Murray Campbell:
Formal Models and Hybrid Approaches for Efficient Manual Image Annotation and Retrieval. Semantic Mining Technologies for Multimedia Databases 2009: 272-297 - 2008
- [j13]Lexing Xie
Event Mining in Multimedia Streams. Proc. IEEE 96(4): 623-647 (2008) - [c13]Rong Yan, Apostol Natsev, Murray Campbell:
Multi-query interactive image and video retrieval -: theory and practice. CIVR 2008: 475-484 - [c12]Rong Yan, Apostol Natsev, Murray Campbell:
A learning-based hybrid tagging and browsing approach for efficient manual image annotation. CVPR 2008 - [c11]Matthew L. Hill, Murray Campbell, Yuan-Chi Chang, Vijay S. Iyengar:
Event detection in sensor networks for modern oil fields. DEBS 2008: 95-102 - 2007
- [c10]Rong Yan, Apostol Natsev, Murray Campbell:
An efficient manual image annotation approach based on tagging and browsing. MS 2007: 13-20 - [c9]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 - 2006
- [c8]Murray Campbell, Alexander Haubold, Shahram Ebadollahi, Dhiraj Joshi, Milind R. Naphade, Apostol Natsev, Joachim Seidl, John R. Smith, Katya Scheinberg
IBM Research TRECVID-2006 Video Retrieval System. TRECVID 2006 - 2005
- [j12]David L. Buckeridge, Howard S. Burkom
Algorithms for rapid outbreak detection: a research synthesis. J. Biomed. Informatics 38(2): 99-113 (2005) - [c7]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 - 2003
- [c6]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: 713-716 - 2002
- [j11]Murray Campbell, A. Joseph Hoane Jr., Feng-Hsiung Hsu:
Deep Blue. Artif. Intell. 134(1-2): 57-83 (2002) - 2001
- [c5]Vijay S. Iyengar, Jon Lee, Murray Campbell:
Evaluating multiple attribute items using queries. EC 2001: 144-153
1990 – 1999
- 1999
- [j10]Murray Campbell:
Knowledge Discovery in Deep Blue. Commun. ACM 42(11): 65-67 (1999) - 1995
- [c4]Feng-Hsiung Hsu, Murray Campbell, A. Joseph Hoane Jr.:
Deep Blue System Overview. International Conference on Supercomputing 1995: 240-244 - 1991
- [j9]Murray Campbell:
Reviews. J. Int. Comput. Games Assoc. 14(3): 146-148 (1991) - 1990
- [j8]Hans J. Berliner, Gordon Goetsch, Murray Campbell, Carl Ebeling:
Measuring the Performance Potential of Chess Programs. Artif. Intell. 43(1): 7-20 (1990) - [j7]Thomas S. Anantharaman, Murray Campbell, Feng-Hsiung Hsu:
Singular Extensions: Adding Selectivity to Brute-Force Searching. Artif. Intell. 43(1): 99-109 (1990)
1980 – 1989
- 1989
- [j6]Murray Campbell:
The Sixth World Computer-Chess Championship. New Directions in Game-Tree Search. J. Int. Comput. Games Assoc. 12(2): 103-104 (1989) - 1988
- [j5]Murray Campbell, Feng-Hsiung Hsu, Gordon Goetsch:
Report on the 1988 Fredkin Masters Open. J. Int. Comput. Games Assoc. 11(2-3): 105-110 (1988) - [j4]Thomas S. Anantharaman, Murray Campbell, Feng-Hsiung Hsu:
Singular Extensions: Adding Selectivity to Brute-Force Searching. J. Int. Comput. Games Assoc. 11(4): 135-143 (1988) - 1985
- [c3]Murray Campbell:
The graph-history interaction: on ignoring position history. ACM Annual Conference 1985: 278-280 - 1984
- [j3]Hans J. Berliner, Murray Campbell:
Using Chunking to Solve Chess Pawn Endgames. Artif. Intell. 23(1): 97-120 (1984) - 1983
- [j2]Murray Campbell, T. Anthony Marsland:
A Comparison of Minimax Tree Search Algorithms. Artif. Intell. 20(4): 347-367 (1983) - [c2]Murray Campbell, Hans J. Berliner:
A Chess Program That Chunks. AAAI 1983: 49-53 - 1982
- [j1]T. Anthony Marsland, Murray Campbell:
Parallel Search of Strongly Ordered Game Trees. ACM Comput. Surv. 14(4): 533-551 (1982) - 1981
- [c1]T. A. Marsland, Murray Campbell:
A survey of enhancements to the alpha-beta algorithm. ACM Annual Conference 1981: 109-114
Coauthor Index
Gerald Tesauro
aka: Gerry Tesauro
aka: Gerry Tesauro
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