178 search results - page 10 / 36 » Probabilistic policy reuse in a reinforcement learning agent |
ILP
2007
Springer
14 years 2 months ago
2007
Springer
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
ATAL
2007
Springer
14 years 2 months ago
2007
Springer
The ambitious goal of transfer learning is to accelerate learning on a target task after training on a different, but related, source task. While many past transfer methods have f...
AI
2002
Springer
13 years 8 months ago
2002
Springer
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
ATAL
2009
Springer
14 years 3 months ago
2009
Springer
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...