Prithvi Poddar

Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization

In this paper, we present a novel Heavy-Tailed Stochastic Policy Gradient (HT-PSG) algorithm to deal with the challenges of sparse rewards in continuous control problems. Sparse rewards are common in continuous control robotics tasks such as manipulation and navigation and make the learning problem…