4 search results - page 1 / 1 » A Generalized Kalman Filter for Fixed Point Approximation an... |
ICML
2001
IEEE
2001
IEEE
A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal Difference Learning
14 years 5 months ago
EWRL
2008
13 years 6 months ago
2008
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
ICML
1999
IEEE
14 years 5 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
ATAL
2008
Springer
13 years 7 months ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...