214 search results - page 2 / 43 » Efficient and Flexible Value Sampling |
COLT
2006
Springer
13 years 9 months ago
2006
Springer
We study functions with multiple output values, and use active sampling to identify an example for each of the possible output values. Our results for this setting include: (1) Eff...
NN
2010
Springer
13 years 11 days ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
CORR
2008
Springer
13 years 4 months ago
2008
Springer
: Wireless control systems (WCSs) often have to operate in dynamic environments where the network traffic load may vary unpredictably over time. The sampling in sensors is conventi...
AAAI
2008
13 years 8 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
AAAI
2006
13 years 7 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...