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Geoffrey J. Gordon - Publications

Affiliations: 
Carnegie Mellon University, Pittsburgh, PA 
Area:
Computer Science, Robotics Engineering
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44 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Li H, Collins C, Tanha M, Gordon GJ, Yaron DJ. A Density Functional Tight Binding Layer for Deep Learning of Chemical Hamiltonians. Journal of Chemical Theory and Computation. PMID 30351008 DOI: 10.1021/Acs.Jctc.8B00873  0.307
2015 Hefny A, Downey C, Gordon GJ. Supervised Learning for Dynamical System Learning. Advances in Neural Information Processing Systems. 28: 1954-1962. PMID 28066133  0.306
2015 Hefny A, Downey C, Gordon GJ. Supervised learning for dynamical system learning Advances in Neural Information Processing Systems. 2015: 1963-1971.  0.307
2013 Boots B, Gretton A, Gordon GJ. Hilbert space embeddings of predictive state representations Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 92-101.  0.652
2013 Boots B, Gordon GJ. A Spectral learning approach to range-only SLAM 30th International Conference On Machine Learning, Icml 2013. 19-26.  0.65
2012 Boots B, Gordon GJ. Two-manifold problems with applications to nonlinear system identification Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 623-630.  0.627
2011 Boots B, MSiddiqi S, Gordon GJ. Closing the learning-planning loop with predictive state representations International Journal of Robotics Research. 30: 954-966. DOI: 10.1177/0278364911404092  0.796
2011 Hong SA, Gordon GJ. Decomposition-based optimal market-based planning for multi-agent systems with shared resources Journal of Machine Learning Research. 15: 351-360.  0.311
2011 Ross S, Gordon GJ, Bagnell JA. A reduction of imitation learning and structured prediction to no-regret online learning Journal of Machine Learning Research. 15: 627-635.  0.367
2011 Boots B, Siddiqi SM, Gordon GJ. Closing the learning-planning loop with predictive state representations Robotics: Science and Systems. 6: 283-290.  0.793
2011 Boots B, Gordon GJ. An online spectral learning algorithm for partially observable nonlinear dynamical systems Proceedings of the National Conference On Artificial Intelligence. 1: 293-300.  0.61
2010 Boots B, Gordon GJ. Predictive State Temporal Difference learning Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010.  0.639
2010 Siddiqi SM, Boots B, Gordon GJ. Reduced-Rank Hidden Markov Models Journal of Machine Learning Research. 9: 741-748.  0.781
2009 Siddiqi SM, Boots B, Gordon GJ. A constraint generation approach to learning stable linear dynamical systems Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.  0.757
2008 Likhachev M, Ferguson D, Gordon G, Stentz A, Thrun S. Anytime search in dynamic graphs Artificial Intelligence. 172: 1613-1643. DOI: 10.1016/J.Artint.2007.11.009  0.703
2008 Calliess JP, Gordon GJ. No-regret learning and a mechanism for distributed multiagent planning Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 1: 502-509.  0.309
2008 Rish I, Grabarnik G, Cecchi G, Pereira F, Gordon GJ. Closed-form supervised dimensionality reduction with generalized linear models Proceedings of the 25th International Conference On Machine Learning. 832-839.  0.465
2007 Gordon GJ. Agendas for multi-agent learning Artificial Intelligence. 171: 392-401. DOI: 10.1016/J.Artint.2006.12.006  0.425
2007 Sarkar P, Siddiqi SM, Gordon GJ. Approximate Kalman filters for embedding author-word co-occurrence data over time Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4503: 126-139.  0.673
2007 Siddiqi SM, Gordon GJ, Moore AW. Fast state discovery for HMM model selection and learning Journal of Machine Learning Research. 2: 492-499.  0.738
2007 Gordon GJ. No-regret algorithms for online convex programs Advances in Neural Information Processing Systems. 489-496.  0.385
2007 McMahan HB, Gordon GJ. A fast bundle-based anytime algorithm for poker and other convex games Journal of Machine Learning Research. 2: 323-330.  0.74
2007 McMahan HB, Gordon GJ. A unification of extensive-form games and Markov decision processes Proceedings of the National Conference On Artificial Intelligence. 1: 86-93.  0.691
2007 Pineau J, Gordon GJ. POMDP planning for robust robot control Springer Tracts in Advanced Robotics. 28.  0.356
2007 Sarkar P, Siddiqi SM, Gordon GJ. A latent space approach to dynamic embedding of co-occurrence data Journal of Machine Learning Research. 2: 420-427.  0.682
2007 Murray C, Gordon GJ. Multi-robot negotiation: Approximating the set of subgame perfect equilibria in general-sum stochastic games Advances in Neural Information Processing Systems. 1001-1008.  0.32
2006 Pineau J, Gordon G, Thrun S. Anytime Point-Based Approximations for Large POMDPs Journal of Artificial Intelligence Research. 27: 335-380. DOI: 10.1613/Jair.2078  0.729
2006 Gerkey BP, Thrun S, Gordon G. Visibility-based pursuit-evasion with limited field of View International Journal of Robotics Research. 25: 299-315. DOI: 10.1177/0278364906065023  0.575
2006 Spaan MTJ, Gordon GJ, Vlassis N. Decentralized planning under uncertainty for teams of communicating agents Proceedings of the International Conference On Autonomous Agents. 2006: 249-256. DOI: 10.1145/1160633.1160678  0.32
2006 Pereira F, Gordon G. The support vector decomposition machine Acm International Conference Proceeding Series. 148: 689-696. DOI: 10.1145/1143844.1143931  0.376
2006 Vlassis N, Gordon G, Pineau J. Planning under uncertainty in robotics Robotics and Autonomous Systems. 54: 885-886. DOI: 10.1016/J.Robot.2006.06.001  0.58
2006 Roy N, Gordon G, Thrun S. Planning under uncertainty for reliable health care robotics Springer Tracts in Advanced Robotics. 24: 417-426. DOI: 10.1007/10991459_40  0.588
2005 Roy N, Gordon G, Thrun S. Finding Approximate POMDP solutions Through Belief Compression Journal of Artificial Intelligence Research. 23: 1-40. DOI: 10.1613/Jair.1496  0.751
2005 McMahan HB, Likhachev M, Gordon GJ. Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 569-576. DOI: 10.1145/1102351.1102423  0.776
2005 Emery-Montemerlo R, Gordon G, Schneider J, Thrun S. Game theoretic control for robot teams Proceedings - Ieee International Conference On Robotics and Automation. 2005: 1163-1169. DOI: 10.1109/ROBOT.2005.1570273  0.571
2005 McMahan HB, Gordon GJ. Fast exact planning in markov decision processes Icaps 2005 - Proceedings of the 15th International Conference On Automated Planning and Scheduling. 151-160.  0.7
2004 Verma V, Gordon G, Simmons R, Thrun S. Real-time fault diagnosis Ieee Robotics and Automation Magazine. 11: 56-66. DOI: 10.1109/Mra.2004.1310942  0.588
2004 Rosencrantz M, Gordon G, Thrun S. Learning low dimensional predictive representations Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 695-702.  0.637
2003 McMahan HB, Gordon GJ, Blum A. Planning in the Presence of Cost Functions Controlled by an Adversary Proceedings, Twentieth International Conference On Machine Learning. 2: 536-543.  0.746
2003 Rosencrantz M, Gordon G, Thrun S. Locating Moving Entities in Indoor Environments with Teams of Mobile Robots Proceedings of the International Conference On Autonomous Agents. 2: 233-240.  0.534
2001 Gordon GJ. Reinforcement learning with function approximation converges to a region Advances in Neural Information Processing Systems.  0.31
1997 Cooper GF, Aliferis CF, Ambrosino R, Aronis J, Buchanan BG, Caruana R, Fine MJ, Glymour C, Gordon G, Hanusa BH, Janosky JE, Meek C, Mitchell T, Richardson T, Spirtes P. An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine. 9: 107-38. PMID 9040894 DOI: 10.1016/S0933-3657(96)00367-3  0.683
1996 Segre AM, Gordon GJ, Elkan CP. Exploratory analysis of speedup learning data using expectation maximization Artificial Intelligence. 85: 301-319. DOI: 10.1016/0004-3702(95)00115-8  0.43
1993 Segre A, Gordon G. Computer systems that learn Artificial Intelligence. 62: 363-378. DOI: 10.1016/0004-3702(93)90084-O  0.331
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