2008 |
11 | EE | André da Motta Salles Barreto,
Charles W. Anderson:
Restricted gradient-descent algorithm for value-function approximation in reinforcement learning.
Artif. Intell. 172(4-5): 454-482 (2008) |
2007 |
10 | EE | Charles W. Anderson,
Peter Michael Young,
Michael R. Buehner,
J. N. Knight,
K. A. Bush,
Douglas C. Hittle:
Robust Reinforcement Learning Control Using Integral Quadratic Constraints for Recurrent Neural Networks.
IEEE Transactions on Neural Networks 18(4): 993-1002 (2007) |
2000 |
9 | | Charles W. Anderson,
Bruce A. Draper,
David A. Peterson:
Behavioral Cloning of Student Pilots with Modular Neural Networks.
ICML 2000: 25-32 |
1999 |
8 | | R. Matthew Kretchmar,
Charles W. Anderson:
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning.
IWANN (1) 1999: 488-496 |
7 | | Charles W. Anderson:
Identifying Mental Tasks from Spontaneous EEG: Signal Representation and Spatial Analysis.
IWANN (2) 1999: 228-237 |
6 | | David A. Peterson,
Charles W. Anderson:
EEG-based Cognitive Task Classification with ICA and Neural Networks.
IWANN (2) 1999: 265-272 |
1997 |
5 | EE | Charles W. Anderson,
Douglas C. Hittle,
Alon D. Katz,
R. Matthew Kretchmar:
Synthesis of reinforcement learning, neural networks and PI control applied to a simulated heating coil.
AI in Engineering 11(4): 421-429 (1997) |
1995 |
4 | EE | Charles W. Anderson,
Saikumar V. Devulapalli,
Erik A. Stolz:
Determining Mental State from EEG Signals Using Parallel Implementations of Neural Networks.
Scientific Programming 4(3): 171-183 (1995) |
1994 |
3 | EE | Charles W. Anderson,
Saikumar V. Devulapalli,
Erik A. Stolz:
EEG as a means of communication: preliminary experiments in EEG analysis using neural networks.
ASSETS 1994: 141-147 |
1992 |
2 | EE | Charles W. Anderson:
Q-Learning with Hidden-Unit Restarting.
NIPS 1992: 81-88 |
1989 |
1 | | Charles W. Anderson:
Tower of Hanoi with Connectionist Networks: Learning New Features.
ML 1989: 345-349 |