494 search results - page 8 / 99 » Evaluating a Reinforcement Learning Algorithm with a General... |
122
Voted
CEC
2010
IEEE
15 years 3 months ago
2010
IEEE
Abstract-- Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approac...
166
Voted
ATAL
2011
Springer
14 years 2 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-...
226
Voted
ATAL
2006
Springer
15 years 6 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
222
Voted
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
106
Voted
AAMAS
2007
Springer
15 years 2 months ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...