178 search results - page 3 / 36 » Probabilistic policy reuse in a reinforcement learning agent |
AAAI
2007
13 years 7 months ago
2007
ATAL
2010
Springer
13 years 4 months ago
2010
Springer
ATAL
2004
Springer
13 years 10 months ago
2004
Springer
Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
AAAI
2010
13 years 6 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
AAMAS
2002
Springer
13 years 5 months ago
2002
Springer
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...