49 search results - page 3 / 10 » Temporal Difference and Policy Search Methods for Reinforcem... |
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
We empirically evaluate the performance of various reinforcement learning methods in applications to sequential targeted marketing. In particular, we propose and evaluate a progre...
ICML
2000
IEEE
14 years 9 months ago
2000
IEEE
Eligibility traces have been shown to speed reinforcement learning, to make it more robust to hidden states, and to provide a link between Monte Carlo and temporal-difference meth...
ESANN
2008
13 years 10 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
ICML
2001
IEEE
14 years 9 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...