1325 search results - page 47 / 265 » Algorithm Selection using Reinforcement Learning |
113
click to vote
AAMAS
2007
Springer
15 years 2 months ago
2007
Springer
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
104
Voted
NIPS
1993
15 years 3 months ago
1993
This paper describes the Q-routing algorithm for packet routing, in which a reinforcement learning module is embedded into each node of a switching network. Only local communicati...
151
click to vote
ATAL
2007
Springer
15 years 8 months ago
2007
Springer
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...
67
Voted
ICRA
2007
IEEE
15 years 8 months ago
2007
IEEE
— In [17] we proposed an RL framework for control of flapping-wing MAVs. The algorithm has been discussed and simulation results using a quasi-steady model showed initial promis...
126
click to vote
ICANNGA
2007
Springer
15 years 8 months ago
2007
Springer
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...