Learning the Solution Manifold in Optimization and Its Application in Motion Planning

24 July 2020

Papers citing "Learning the Solution Manifold in Optimization and Its Application in Motion Planning"

12 / 12 papers shown

Title
Multimodal Trajectory Optimization for Motion Planning Takayuki Osa 67 56 0 16 Mar 2020
Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree A. Orthey Benjamin Frész Marc Toussaint 31 17 0 11 Sep 2019
Neural probabilistic motor primitives for humanoid control J. Merel Leonard Hasenclever Alexandre Galashov Arun Ahuja Vu Pham Greg Wayne Yee Whye Teh N. Heess 78 160 0 28 Nov 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 60 211 0 02 Oct 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information Arjun Sharma Mohit Sharma Nicholas Rhinehart Kris Kitani 52 68 0 29 Sep 2018
Learning Disentangled Joint Continuous and Discrete Representations Emilien Dupont DRL 78 242 0 31 Mar 2018
Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference Mustafa Mukadam Jing Dong Xinyan Yan F. Dellaert Byron Boots GP 48 216 0 24 Jul 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 87 361 0 10 Apr 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 328 5,364 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 191 2,531 0 02 Nov 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,933 0 20 Dec 2013
Sampling-based Algorithms for Optimal Motion Planning S. Karaman Emilio Frazzoli 102 4,691 0 05 May 2011