Sciweavers

1799 search results - page 149 / 360
» Filtered Reinforcement Learning
Sort
View
ICML
2005
IEEE
16 years 5 months ago
Learning to compete, compromise, and cooperate in repeated general-sum games
Learning algorithms often obtain relatively low average payoffs in repeated general-sum games between other learning agents due to a focus on myopic best-response and one-shot Nas...
Jacob W. Crandall, Michael A. Goodrich
148
Voted
AAAI
2007
15 years 7 months ago
Active Imitation Learning
Imitation learning, also called learning by watching or programming by demonstration, has emerged as a means of accelerating many reinforcement learning tasks. Previous work has s...
Aaron P. Shon, Deepak Verma, Rajesh P. N. Rao
ESANN
2006
15 years 6 months ago
Spatial filters for the classification of event-related potentials
Spatial filtering is a widely used dimension reduction method in electroencephalogram based brain-computer interface systems. In this paper a new algorithm is proposed, which learn...
Ulrich Hoffmann, Jean-Marc Vesin, Touradj Ebrahimi
ICML
2001
IEEE
16 years 5 months ago
Off-Policy Temporal Difference Learning with Function Approximation
We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
Doina Precup, Richard S. Sutton, Sanjoy Dasgupta
ATAL
2004
Springer
15 years 10 months ago
Best-Response Multiagent Learning in Non-Stationary Environments
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
Michael Weinberg, Jeffrey S. Rosenschein