1236 search results - page 60 / 248 » Opposition-Based Reinforcement Learning |
121
click to vote
CG
2006
Springer
15 years 4 months ago
2006
Springer
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
150
click to vote
NIPS
2001
15 years 4 months ago
2001
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
111
click to vote
ICRA
2008
IEEE
15 years 9 months ago
2008
IEEE
— In this paper, we propose a reinforcement learning approach to address multi-robot cooperative navigation tasks in infinite settings. We propose an algorithm to simultaneously...
132
click to vote
ATAL
2007
Springer
15 years 9 months ago
2007
Springer
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
131
click to vote
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...