27 search results - page 1 / 6 » Comparing evolutionary and temporal difference methods in a ... |
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
ATAL
2008
Springer
13 years 6 months ago
2008
Springer
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
AAMAS
2010
Springer
13 years 4 months ago
2010
Springer
AAAI
2007
13 years 6 months ago
2007
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...