SafePILCO: a software tool for safe and data-efficient policy synthesis

2020-08-07Code Available1· sign in to hype

Kyriakos Polymenakos, Nikitas Rontsis, Alessandro Abate, Stephen Roberts

Code Available — Be the first to reproduce this paper.

Code

github.com/nrontsis/PILCO
OfficialIn papertf★ 336

Abstract

SafePILCO is a software tool for safe and data-efficient policy search with reinforcement learning. It extends the known PILCO algorithm, originally written in MATLAB, to support safe learning. We provide a Python implementation and leverage existing libraries that allow the codebase to remain short and modular, which is appropriate for wider use by the verification, reinforcement learning, and control communities.

Tasks

reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

SafePILCO: a software tool for safe and data-efficient policy synthesis

Code

Abstract

Tasks

Reproductions