[PDF][PDF] Using Neural Networks for Synthesizing Importance Sampler Database in Reinforcement Learning
Z Loncarevic, A Gams - researchgate.net
Reinforcement learning is a widely used method of acquiring new skills in robotics.
However, it is usually rather slow and a lot of learning iterations are needed until robot …
However, it is usually rather slow and a lot of learning iterations are needed until robot …
Generalization Based Database Acquisition for Robot Learning in Reduced Space
In order to increase the autonomy of the modern, high complexity robots with multiple
degrees of freedom, it is necessary for them to be able to learn and adapt their skills, for …
degrees of freedom, it is necessary for them to be able to learn and adapt their skills, for …