651 search results - page 15 / 131 » Algorithms for Inverse Reinforcement Learning |
CAEPIA
2011
Springer
12 years 7 months ago
2011
Springer
In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general...
IJCAI
2001
13 years 9 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
SYNASC
2005
IEEE
14 years 1 months ago
2005
IEEE
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...
ATAL
2011
Springer
12 years 7 months ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...