5 search results - page 1 / 1 » Least-Squares Policy Iteration: Bias-Variance Trade-off in C... |
77
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
NIPS
2001
14 years 11 months ago
2001
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
84
Voted
AAAI
2010
14 years 11 months ago
2010
Crowd-sourcing is a recent framework in which human intelligence tasks are outsourced to a crowd of unknown people ("workers") as an open call (e.g., on Amazon's Me...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...