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Theodore J. Perkins :
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Daniel S. Bernstein , Theodore J. Perkins , Shlomo Zilberstein , Lev Finkelstein Scheduling Contract Algorithms on Multiple Processors. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, 2002, pp:702-706 [Conf ] Theodore J. Perkins Reinforcement Learning for POMDPs Based on Action Values and Stochastic Optimization. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, 2002, pp:199-204 [Conf ] Robert Moll , Theodore J. Perkins , Andrew G. Barto Machine Learning for Subproblem Selection. [Citation Graph (0, 0)][DBLP ] ICML, 2000, pp:615-622 [Conf ] Theodore J. Perkins , Andrew G. Barto Lyapunov-Constrained Action Sets for Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] ICML, 2001, pp:409-416 [Conf ] Theodore J. Perkins , Mark D. Pendrith On the Existence of Fixed Points for Q-Learning and Sarsa in Partially Observable Domains. [Citation Graph (0, 0)][DBLP ] ICML, 2002, pp:490-497 [Conf ] Theodore J. Perkins , Andrew G. Barto Heuristic Search in Infinite State Spaces Guided by Lyapunov Analysis. [Citation Graph (0, 0)][DBLP ] IJCAI, 2001, pp:242-247 [Conf ] Robert Moll , Andrew G. Barto , Theodore J. Perkins , Richard S. Sutton Learning Instance-Independent Value Functions to Enhance Local Search. [Citation Graph (0, 0)][DBLP ] NIPS, 1998, pp:1017-1023 [Conf ] Theodore J. Perkins , Doina Precup A Convergent Form of Approximate Policy Iteration. [Citation Graph (0, 0)][DBLP ] NIPS, 2002, pp:1595-1602 [Conf ] Theodore J. Perkins , Andrew G. Barto Lyapunov Design for Safe Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2002, v:3, n:, pp:803-832 [Journal ] Statistical lower bounds on protein copy number from fluorescence expression images. [Citation Graph (, )][DBLP ] Search in 0.005secs, Finished in 0.006secs