1233 search results - page 145 / 247 » Reinforcement learning |
102
Voted
ATAL
2007
Springer
15 years 10 months ago
2007
Springer
A MAS architecture consisting of service centers is proposed. Within each service center, a mediator coordinates service delivery by allocating individual tasks to corresponding t...
140
Voted
GECCO
2010
Springer
15 years 7 months ago
2010
Springer
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
132
Voted
ATAL
2008
Springer
15 years 5 months ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
144
Voted
HIS
2008
15 years 5 months ago
2008
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...
178
Voted
AIIDE
2009
15 years 4 months ago
2009
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...