Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization

1 code implementation • 9 Nov 2020 • M. Tuluhan Akbulut, Utku Bozdogan, Ahmet Tekden, Emre Ugur

For this, the experience of the robot, which can be bootstrapped from demonstrated trajectories, is used to train a novel Neural Processes-based deep network that samples from its latent space and generates the required trajectories given desired rewards.

Variational Inference