1262 search results - page 150 / 253 » Reinforcement Learning: An Introduction |
122
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
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...
134
Voted
AAAI
2007
15 years 5 months ago
2007
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...
140
click to vote
ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
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...
118
click to vote
ATAL
2004
Springer
15 years 8 months ago
2004
Springer
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...
138
click to vote
ICML
1994
IEEE
15 years 6 months ago
1994
IEEE
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...