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One Policy to Control Them All: Shared Modular Policies for
  Agent-Agnostic Control

One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control

9 July 2020
Wenlong Huang
Igor Mordatch
Deepak Pathak
ArXivPDFHTML

Papers citing "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

50 / 107 papers shown
Title
On Realization of Intelligent Decision-Making in the Real World: A
  Foundation Decision Model Perspective
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective
Ying Wen
Ziyu Wan
M. Zhou
Shufang Hou
Zhe Cao
Chenyang Le
Jingxiao Chen
Zheng Tian
Weinan Zhang
J. Wang
AI4CE
16
10
0
24 Dec 2022
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem
Chenyi Yu
Weinan Zhang
H. Lai
Zheng Tian
L. Kneip
Jun Wang
23
15
0
18 Dec 2022
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer
  across Agents
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents
Minghuan Liu
Zhengbang Zhu
Menghui Zhu
Yuzheng Zhuang
Weinan Zhang
Jianye Hao
13
0
0
18 Dec 2022
A System for Morphology-Task Generalization via Unified Representation
  and Behavior Distillation
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
Hiroki Furuta
Yusuke Iwasawa
Yutaka Matsuo
S. Gu
18
14
0
25 Nov 2022
Build generally reusable agent-environment interaction models
Build generally reusable agent-environment interaction models
Jun Jin
Hongming Zhang
Jun-Jie Luo
15
0
0
13 Nov 2022
Learning Modular Robot Locomotion from Demonstrations
Learning Modular Robot Locomotion from Demonstrations
Julian Whitman
Howie Choset
8
1
0
31 Oct 2022
Learning Modular Robot Visual-motor Locomotion Policies
Learning Modular Robot Visual-motor Locomotion Policies
Julian Whitman
Howie Choset
11
1
0
31 Oct 2022
Low-Rank Modular Reinforcement Learning via Muscle Synergy
Low-Rank Modular Reinforcement Learning via Muscle Synergy
Heng Dong
Tonghan Wang
Jiayuan Liu
Chongjie Zhang
50
17
0
26 Oct 2022
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based
  Policy Learning
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning
Arrasy Rahman
Ignacio Carlucho
Niklas Höpner
Stefano V. Albrecht
40
8
0
11 Oct 2022
GNM: A General Navigation Model to Drive Any Robot
GNM: A General Navigation Model to Drive Any Robot
Dhruv Shah
A. Sridhar
Arjun Bhorkar
Noriaki Hirose
Sergey Levine
17
102
0
07 Oct 2022
DMAP: a Distributed Morphological Attention Policy for Learning to
  Locomote with a Changing Body
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
A. Chiappa
Alessandro Marin Vargas
Alexander Mathis
13
7
0
28 Sep 2022
GLSO: Grammar-guided Latent Space Optimization for Sample-efficient
  Robot Design Automation
GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation
Jiaheng Hu
Julian Whiman
Howie Choset
21
14
0
23 Sep 2022
Hierarchical Decentralized Deep Reinforcement Learning Architecture for
  a Simulated Four-Legged Agent
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent
W. Z. E. Amri
L. Hermes
M. Schilling
11
1
0
21 Sep 2022
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots
Gilbert Feng
Hongbo Zhang
Zhongyu Li
Xue Bin Peng
Bhuvan Basireddy
...
Zhitao Song
Lizhi Yang
Yunhui Liu
K. Sreenath
Sergey Levine
87
55
0
12 Sep 2022
Neural Approaches to Co-Optimization in Robotics
Neural Approaches to Co-Optimization in Robotics
Charles B. Schaff
8
1
0
01 Sep 2022
N-LIMB: Neural Limb Optimization for Efficient Morphological Design
N-LIMB: Neural Limb Optimization for Efficient Morphological Design
Charles B. Schaff
Matthew R. Walter
9
5
0
24 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
19
27
0
15 Jul 2022
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
Brandon Trabucco
Mariano Phielipp
Glen Berseth
26
27
0
17 Jun 2022
Challenges and Opportunities in Deep Reinforcement Learning with Graph
  Neural Networks: A Comprehensive review of Algorithms and Applications
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications
Sai Munikoti
D. Agarwal
L. Das
M. Halappanavar
Balasubramaniam Natarajan
GNN
OffRL
AI4CE
25
57
0
16 Jun 2022
QGNN: Value Function Factorisation with Graph Neural Networks
QGNN: Value Function Factorisation with Graph Neural Networks
Ryan Kortvelesy
Amanda Prorok
11
15
0
25 May 2022
A Generalist Agent
A Generalist Agent
Scott E. Reed
Konrad Zolna
Emilio Parisotto
Sergio Gomez Colmenarejo
Alexander Novikov
...
Yutian Chen
R. Hadsell
Oriol Vinyals
Mahyar Bordbar
Nando de Freitas
LM&Ro
LLMAG
AI4CE
49
783
0
12 May 2022
Evolving Modular Soft Robots without Explicit Inter-Module Communication
  using Local Self-Attention
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention
F. Pigozzi
Yujin Tang
Eric Medvet
David R Ha
32
22
0
13 Apr 2022
Collective control of modular soft robots via embodied Spiking Neural
  Cellular Automata
Collective control of modular soft robots via embodied Spiking Neural Cellular Automata
Giorgia Nadizar
Eric Medvet
Stefano Nichele
S. Pontes-Filho
11
8
0
05 Apr 2022
MetaMorph: Learning Universal Controllers with Transformers
MetaMorph: Learning Universal Controllers with Transformers
Agrim Gupta
Linxi Fan
Surya Ganguli
Li Fei-Fei
LM&Ro
11
85
0
22 Mar 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured
  Reinforcement Learning
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
Seyed Kamyar Seyed Ghasemipour
Daniel Freeman
Byron David
S. Gu
Satoshi Kataoka
Igor Mordatch
OffRL
22
25
0
15 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
22
19
0
09 Mar 2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy
  Transfer
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
Xingyu Liu
Deepak Pathak
Kris M. Kitani
15
19
0
10 Feb 2022
Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with
  Sim-to-Real Transfer
Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer
Charles B. Schaff
Audrey Sedal
Matthew R. Walter
7
26
0
09 Feb 2022
Malleable Agents for Re-Configurable Robotic Manipulators
Malleable Agents for Re-Configurable Robotic Manipulators
Athindran Ramesh Kumar
Gurudutt Hosangadi
11
0
0
04 Feb 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
Vitaly Kurin
Alessandro De Palma
Ilya Kostrikov
Shimon Whiteson
M. P. Kumar
28
72
0
11 Jan 2022
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication
  Pattern Recognition Module
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module
Wei-Cheng Tseng
Wei Wei
Da-Cheng Juan
Min Sun
23
2
0
14 Dec 2021
Tool as Embodiment for Recursive Manipulation
Tool as Embodiment for Recursive Manipulation
Yukiyasu Noguchi
T. Matsushima
Y. Matsuo
S. Gu
22
7
0
01 Dec 2021
Collective Intelligence for Deep Learning: A Survey of Recent
  Developments
Collective Intelligence for Deep Learning: A Survey of Recent Developments
David R Ha
Yu Tang
AI4CE
23
67
0
29 Nov 2021
What Robot do I Need? Fast Co-Adaptation of Morphology and Control using
  Graph Neural Networks
What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks
K. Luck
Roberto Calandra
M. Mistry
AI4CE
14
3
0
03 Nov 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following
  Temporal Specifications
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Borja G. Leon
Murray Shanahan
Francesco Belardinelli
AI4CE
18
15
0
18 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior
  Engineering beyond Reward Maximization
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization
S. Gu
Manfred Diaz
Daniel Freeman
Hiroki Furuta
Seyed Kamyar Seyed Ghasemipour
Anton Raichuk
Byron David
Erik Frey
Erwin Coumans
Olivier Bachem
26
14
0
10 Oct 2021
Transform2Act: Learning a Transform-and-Control Policy for Efficient
  Agent Design
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
Ye Yuan
Yuda Song
Zhengyi Luo
Wen Sun
Kris M. Kitani
11
34
0
07 Oct 2021
ProTo: Program-Guided Transformer for Program-Guided Tasks
ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao
Karan Samel
Binghong Chen
Le Song
ViT
LM&Ro
16
30
0
02 Oct 2021
POAR: Efficient Policy Optimization via Online Abstract State
  Representation Learning
POAR: Efficient Policy Optimization via Online Abstract State Representation Learning
Zhaorun Chen
Siqi Fan
Yuan Tan
Liang Gong
Binhao Chen
Te Sun
David Filliat
Natalia Díaz Rodríguez
Chengliang Liu
OffRL
22
0
0
17 Sep 2021
Learning Robot Structure and Motion Embeddings using Graph Neural
  Networks
Learning Robot Structure and Motion Embeddings using Graph Neural Networks
J. Kim
Jeongeun Park
Sungjoon Choi
Sehoon Ha
19
10
0
15 Sep 2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural
  Networks for Reinforcement Learning
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
Yujin Tang
David R Ha
22
75
0
07 Sep 2021
Accelerating Quadratic Optimization with Reinforcement Learning
Accelerating Quadratic Optimization with Reinforcement Learning
Jeffrey Ichnowski
Paras Jain
Bartolomeo Stellato
G. Banjac
Michael Luo
Francesco Borrelli
Joseph E. Gonzalez
Ion Stoica
Ken Goldberg
OffRL
15
35
0
22 Jul 2021
Learning Modular Robot Control Policies
Learning Modular Robot Control Policies
Julian Whitman
Matthew Travers
Howie Choset
14
43
0
20 May 2021
Efficient Hyperparameter Optimization for Physics-based Character
  Animation
Efficient Hyperparameter Optimization for Physics-based Character Animation
Zeshi Yang
Zhiqi Yin
AI4CE
24
9
0
26 Apr 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic
  Platforms
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
12
41
0
05 Mar 2021
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via
  Parameter Freezing
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing
Charlie Blake
Vitaly Kurin
Maximilian Igl
Shimon Whiteson
AI4CE
10
13
0
01 Mar 2021
Task-Agnostic Morphology Evolution
Task-Agnostic Morphology Evolution
D. Hejna
Pieter Abbeel
Lerrel Pinto
14
26
0
25 Feb 2021
Embodied Intelligence via Learning and Evolution
Embodied Intelligence via Learning and Evolution
Agrim Gupta
Silvio Savarese
Surya Ganguli
Li Fei-Fei
AI4CE
22
230
0
03 Feb 2021
Meta Learning Backpropagation And Improving It
Meta Learning Backpropagation And Improving It
Louis Kirsch
Jürgen Schmidhuber
40
56
0
29 Dec 2020
Emergent Hand Morphology and Control from Optimizing Robust Grasps of
  Diverse Objects
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
Xinlei Pan
Animesh Garg
Anima Anandkumar
Yuke Zhu
8
15
0
22 Dec 2020
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