Utku Bozdogan

Reward Conditioned Neural Movement Primitives for Population-Based Variational Policy Optimization

This paper aims to study the reward-based policy exploration problem in a supervised learning approach and enable robots to form complex movement trajectories in challenging reward settings and search spaces. For this, the experience of the robot, which can be bootstrapped from demonstrated trajecto…