Coarse-to-Fine Q-attention with Learned Path Ranking

Rrt-connect: An efficient approach to single-query path planning

James J Kuffner and Steven M LaValle · 2000

Earlier work this paper cites.

Preference learning and ranking by pairwise comparison

Johannes Fürnkranz and Eyke Hüllermeier · 2010

Earlier work this paper cites.

The Open Motion Planning Library

Ioan A. Şucan, Mark Moll, and Lydia E. Kavraki · 2012

Earlier work this paper cites.

Human-level control through deep reinforcement learning

Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015

Earlier work this paper cites.

3D simulation for robot arm control with deep Q-learning

Stephen James and Edward Johns · 2016

Earlier work this paper cites.

Value iteration networks

Original

Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, and Pieter Abbeel · 2016

Earlier work this paper cites.

Composable deep reinforcement learning for robotic manipulation

Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, and Sergey Levine · 2018

Earlier work this paper cites.

Sim-to-real reinforcement learning for deformable object manipulation

Jan Matas, Stephen James, and Andrew J Davison · 2018

Earlier work this paper cites.

Asymmetric actor critic for image-based robot learning

Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, and Pieter Abbeel · 2018

Cited alongside, same era.

Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation

Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, et al · 2018

Cited alongside, same era.

Universal planning networks: Learning generalizable representations for visuomotor control

Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, and Chelsea Finn · 2018

Cited alongside, same era.

Prm-rl: Long-range robotic navigation tasks by combining reinforcement learning and sampling-based planning

Aleksandra Faust, Kenneth Oslund, Oscar Ramirez, Anthony Francis, Lydia Tapia, Marek Fiser, and James Davidson · 2018

Cited alongside, same era.

Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks

Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, and Konstantinos Bousmalis · 2019

Differentiable gaussian process motion planning

Mohak Bhardwaj, Byron Boots, and Mustafa Mukadam · 2020

Later among the works it cites.

Unsupervised path regression networks

Original

Michal Pándy, Daniel Lenton, and Ronald Clark · 2020

Later among the works it cites.

Object rearrangement using learned implicit collision functions

Michael Danielczuk, Arsalan Mousavian, Clemens Eppner, and Dieter Fox · 2021

Later among the works it cites.

Learning where to trust unreliable models in an unstructured world for deformable object manipulation

P Mitrano, D McConachie, and D Berenson · 2021

Later among the works it cites.

Q-attention: Enabling efficient learning for vision-based robotic manipulation

Stephen James and Andrew J Davison · 2022

Closest in time.