93 search results - page 11 / 19 » Trajectory Optimization using Reinforcement Learning for Map... |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
ALIFE
2002
13 years 7 months ago
2002
In this paper, we study the relationship between the two techniques known as ant colony optimization (aco) and stochastic gradient descent. More precisely, we show that some empir...
NIPS
2004
13 years 8 months ago
2004
Motor control depends on sensory feedback in multiple modalities with different latencies. In this paper we consider within the framework of reinforcement learning how different s...
RAS
2010
13 years 5 months ago
2010
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...