George Dimitri Konidaris

Konidaris

Adjunct Assistant Professor of Computer Science

Appointments and Affiliations

  • Adjunct Assistant Professor of Computer Science

Contact Information

  • Office Location: 421 Chapel Dr, Durham, NC 27710
  • Office Phone: (413) 335-1968
  • Email Address: gdk@cs.duke.edu
  • Websites:

Education

  • Ph.D. University of Massachusetts - Amherst, 2011

In the News

Representative Publications

  • Baker, MM; New, A; Aguilar-Simon, M; Al-Halah, Z; Arnold, SMR; Ben-Iwhiwhu, E; Brna, AP; Brooks, E; Brown, RC; Daniels, Z; Daram, A; Delattre, F; Dellana, R; Eaton, E; Fu, H; Grauman, K; Hostetler, J; Iqbal, S; Kent, C; Ketz, N; Kolouri, S; Konidaris, G; Kudithipudi, D; Learned-Miller, E; Lee, S; Littman, ML; Madireddy, S; Mendez, JA; Nguyen, EQ; Piatko, C; Pilly, PK; Raghavan, A; Rahman, A; Ramakrishnan, SK; Ratzlaff, N; Soltoggio, A; Stone, P; Sur, I; Tang, Z; Tiwari, S; Vedder, K; Wang, F; Xu, Z; Yanguas-Gil, A; Yedidsion, H; Yu, S; Vallabha, GK, A domain-agnostic approach for characterization of lifelong learning systems., Neural Networks : the Official Journal of the International Neural Network Society, vol 160 (2023), pp. 274-296 [10.1016/j.neunet.2023.01.007] [abs].
  • Stulp, F; Spranger, M; Listmann, K; Doncieux, S; Tenorth, M; Konidaris, G; Abbeel, P, Innovation Paths for Machine Learning in Robotics [Industry Activities], Ieee Robotics and Automation Magazine, vol 29 no. 4 (2022), pp. 141-144 [10.1109/MRA.2022.3213205] [abs].
  • Ames, B; Morgan, J; Konidaris, G, IKFlow: Generating Diverse Inverse Kinematics Solutions, Ieee Robotics and Automation Letters, vol 7 no. 3 (2022), pp. 7177-7184 [10.1109/LRA.2022.3181374] [abs].
  • Lobel, S; Gottesman, O; Allen, C; Bagaria, A; Konidaris, G, Optimistic Initialization for Exploration in Continuous Control, Proceedings of the 36th Aaai Conference on Artificial Intelligence, Aaai 2022, vol 36 (2022), pp. 7612-7619 [abs].
  • Pacheck, A; Konidaris, G; Kress-Gazit, H, Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations, Springer Proceedings in Advanced Robotics, vol 20 SPAR (2022), pp. 509-525 [10.1007/978-3-030-95459-8_31] [abs].