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MCP: Learning Composable Hierarchical Control with Multiplicative
  Compositional Policies

MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies

23 May 2019
Xue Bin Peng
Michael Chang
Grace Zhang
Pieter Abbeel
Sergey Levine
ArXivPDFHTML

Papers citing "MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies"

11 / 61 papers shown
Title
Decentralized Reinforcement Learning: Global Decision-Making via Local
  Economic Transactions
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions
Michael Chang
Sid Kaushik
Matthew C. Weinberg
Thomas Griffiths
Sergey Levine
17
16
0
05 Jul 2020
Residual Force Control for Agile Human Behavior Imitation and Extended
  Motion Synthesis
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis
Ye Yuan
Kris Kitani
29
75
0
12 Jun 2020
Gaussian Gated Linear Networks
Gaussian Gated Linear Networks
David Budden
Adam H. Marblestone
Eren Sezener
Tor Lattimore
Greg Wayne
J. Veness
BDL
AI4CE
27
12
0
10 Jun 2020
CARL: Controllable Agent with Reinforcement Learning for Quadruped
  Locomotion
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion
Ying-Sheng Luo
Jonathan Hans Soeseno
Trista Pei-chun Chen
Wei-Chao Chen
20
15
0
07 May 2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang
Huazhe Xu
Yi Wu
Xiaolong Wang
27
177
0
30 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer
Hierarchically Decoupled Imitation for Morphological Transfer
D. Hejna
Pieter Abbeel
Lerrel Pinto
LM&Ro
25
41
0
03 Mar 2020
A Boolean Task Algebra for Reinforcement Learning
A Boolean Task Algebra for Reinforcement Learning
Geraud Nangue Tasse
Steven D. James
Benjamin Rosman
22
54
0
06 Jan 2020
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement
  Learning
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning
Tianyu Li
Nathan Lambert
Roberto Calandra
Franziska Meier
Akshara Rai
21
40
0
26 Sep 2019
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical
  Control
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
Yu-Wei Chao
Jimei Yang
Weifeng Chen
Jia Deng
24
42
0
20 Aug 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Alexander C. Li
Carlos Florensa
I. Clavera
Pieter Abbeel
29
71
0
13 Jun 2019
Composing Task-Agnostic Policies with Deep Reinforcement Learning
Composing Task-Agnostic Policies with Deep Reinforcement Learning
A. H. Qureshi
Jacob J. Johnson
Yuzhe Qin
Taylor Henderson
Byron Boots
Michael C. Yip
OffRL
22
30
0
25 May 2019
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