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Sub-Goal Trees -- a Framework for Goal-Directed Trajectory Prediction
  and Optimization

Sub-Goal Trees -- a Framework for Goal-Directed Trajectory Prediction and Optimization

12 June 2019
Tom Jurgenson
E. Groshev
Aviv Tamar
ArXiv (abs)PDFHTML

Papers citing "Sub-Goal Trees -- a Framework for Goal-Directed Trajectory Prediction and Optimization"

10 / 10 papers shown
Title
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to
  Reach New Goals
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals
Vikas Dhiman
Shurjo Banerjee
J. Siskind
Jason J. Corso
OffRL
47
13
0
25 Sep 2018
Time-Agnostic Prediction: Predicting Predictable Video Frames
Time-Agnostic Prediction: Predicting Predictable Video Frames
Dinesh Jayaraman
F. Ebert
Alexei A. Efros
Sergey Levine
87
94
0
23 Aug 2018
Motion Planning Networks
Motion Planning Networks
A. H. Qureshi
Anthony Simeonov
M. J. Bency
Michael C. Yip
3DPC
47
239
0
14 Jun 2018
Deep Learning using Rectified Linear Units (ReLU)
Deep Learning using Rectified Linear Units (ReLU)
Abien Fred Agarap
78
3,236
0
22 Mar 2018
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
280
2,339
0
05 Jul 2017
Prediction and Control with Temporal Segment Models
Prediction and Control with Temporal Segment Models
Nikhil Mishra
Pieter Abbeel
Igor Mordatch
BDL
74
64
0
12 Mar 2017
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous
  Off-Policy Updates
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
S. Gu
E. Holly
Timothy Lillicrap
Sergey Levine
OffRLSSL
116
1,482
0
03 Oct 2016
Robobarista: Object Part based Transfer of Manipulation Trajectories
  from Crowd-sourcing in 3D Pointclouds
Robobarista: Object Part based Transfer of Manipulation Trajectories from Crowd-sourcing in 3D Pointclouds
Jaeyong Sung
Seok Hyun Jin
Ashutosh Saxena
LM&Ro3DPC
78
71
0
13 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
254
3,238
0
02 Nov 2010
1