Receding-horizon planning using recursive Monte Carlo Tree Search with Sparse Action Sampling for continuous state and action spaces

Moritz Schneider. Receding-horizon planning using recursive Monte Carlo Tree Search with Sparse Action Sampling for continuous state and action spaces. In 2016 American Control Conference, ACC 2016, Boston, MA, USA, July 6-8, 2016. pages 5401-5406, IEEE, 2016. [doi]

Abstract

Abstract is missing.