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Learning to Compose Skills

Learning to Compose Skills

30 November 2017
Himanshu Sahni
Saurabh Kumar
Farhan Tejani
Charles Isbell
    CoGe
ArXiv (abs)PDFHTML

Papers citing "Learning to Compose Skills"

24 / 24 papers shown
Title
Evolutionary Developmental Biology Can Serve as the Conceptual Foundation for a New Design Paradigm in Artificial Intelligence
Evolutionary Developmental Biology Can Serve as the Conceptual Foundation for a New Design Paradigm in Artificial Intelligence
Zeki Doruk Erden
Boi Faltings
88
1
0
15 Jun 2025
One Rank at a Time: Cascading Error Dynamics in Sequential Learning
One Rank at a Time: Cascading Error Dynamics in Sequential Learning
Mahtab Alizadeh Vandchali
Fangshuo
Liao
Anastasios Kyrillidis
112
1
0
28 May 2025
Multi-CALF: A Policy Combination Approach with Statistical Guarantees
Multi-CALF: A Policy Combination Approach with Statistical Guarantees
Georgiy Malaniya
Anton Bolychev
Grigory Yaremenko
Anastasia Krasnaya
Pavel Osinenko
157
0
0
18 May 2025
On the Parallels Between Evolutionary Theory and the State of AI
On the Parallels Between Evolutionary Theory and the State of AI
Zeki Doruk Erden
Boi Faltings
97
2
0
13 May 2025
I Know How: Combining Prior Policies to Solve New Tasks
I Know How: Combining Prior Policies to Solve New Tasks
Malio Li
Elia Piccoli
Vincenzo Lomonaco
Davide Bacciu
CLL
111
2
0
14 Jun 2024
Dissecting Chain-of-Thought: Compositionality through In-Context
  Filtering and Learning
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
Yingcong Li
Kartik K. Sreenivasan
Angeliki Giannou
Dimitris Papailiopoulos
Samet Oymak
LRM
155
20
0
30 May 2023
Towards Zero-Shot Functional Compositionality of Language Models
Towards Zero-Shot Functional Compositionality of Language Models
Hangyeol Yu
Myeongho Jeong
Jamin Shin
Hyeongdon Moon
Juneyoung Park
Seungtaek Choi
148
2
0
06 Mar 2023
A Constrained-Optimization Approach to the Execution of Prioritized
  Stacks of Learned Multi-Robot Tasks
A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-Robot TasksInternational Symposium on Distributed Autonomous Robotic Systems (DARS), 2023
Gennaro Notomista
87
3
0
13 Jan 2023
Soft Actor-Critic with Inhibitory Networks for Faster Retraining
Soft Actor-Critic with Inhibitory Networks for Faster Retraining
J. Ide
Daria Mićović
Michael J. Guarino
K. Alcedo
D. Rosenbluth
Adrian P. Pope
80
3
0
07 Feb 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in
  Dynamic Environments
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic EnvironmentsFrontiers in Neurorobotics (FN), 2021
A. Iyer
Karan Grewal
Akash Velu
Lucas O. Souza
Jérémy Forest
Subutai Ahmad
AI4CE
190
53
0
31 Dec 2021
Learning Multi-Objective Curricula for Robotic Policy Learning
Learning Multi-Objective Curricula for Robotic Policy Learning
Jikun Kang
Miao Liu
Abhinav Gupta
C. Pal
Xue Liu
Jie Fu
168
6
0
06 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills
  with Inconsistent Action Dimensions in Multiple Hierarchies
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies
Jeong-Hoon Lee
Jongeun Choi
199
9
0
05 Oct 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction
Solving Compositional Reinforcement Learning Problems via Task ReductionInternational Conference on Learning Representations (ICLR), 2021
Yunfei Li
Yilin Wu
Huazhe Xu
Xiaolong Wang
Yi Wu
121
20
0
13 Mar 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and PerspectivesJournal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
298
360
0
25 Dec 2020
Robust Conversational AI with Grounded Text Generation
Robust Conversational AI with Grounded Text Generation
Jianfeng Gao
Baolin Peng
Chunyuan Li
Jinchao Li
Shahin Shayandeh
Lars Liden
H. Shum
122
22
0
07 Sep 2020
Encoding formulas as deep networks: Reinforcement learning for zero-shot
  execution of LTL formulas
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulasIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Yen-Ling Kuo
Boris Katz
Andrei Barbu
149
44
0
01 Jun 2020
Zero-Shot Compositional Policy Learning via Language Grounding
Zero-Shot Compositional Policy Learning via Language Grounding
Tianshi Cao
Jingkang Wang
Yining Zhang
S. Manivasagam
LM&Ro
138
2
0
15 Apr 2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-Task Reinforcement Learning with Soft ModularizationNeural Information Processing Systems (NeurIPS), 2020
Ruihan Yang
Huazhe Xu
Yi Wu
Xiaolong Wang
130
205
0
30 Mar 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
Efficient Deep Reinforcement Learning via Adaptive Policy TransferAdaptive Agents and Multi-Agent Systems (AAMAS), 2020
Tianpei Yang
Jianye Hao
Zhaopeng Meng
Zongzhang Zhang
Yujing Hu
...
Changjie Fan
Weixun Wang
Wulong Liu
Zhaodong Wang
J. Peng
OffRL
119
12
0
19 Feb 2020
Composing Task-Agnostic Policies with Deep Reinforcement Learning
Composing Task-Agnostic Policies with Deep Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2019
A. H. Qureshi
Jacob J. Johnson
Yuzhe Qin
Taylor Henderson
Byron Boots
Michael C. Yip
OffRL
126
32
0
25 May 2019
Cooperative Learning of Disjoint Syntax and Semantics
Cooperative Learning of Disjoint Syntax and Semantics
Serhii Havrylov
Germán Kruszewski
Armand Joulin
116
48
0
25 Feb 2019
Modular Networks: Learning to Decompose Neural Computation
Modular Networks: Learning to Decompose Neural Computation
Louis Kirsch
Julius Kunze
David Barber
128
119
0
13 Nov 2018
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models
  for Navigating in a Circular Maze
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze
Diego Romeres
Devesh K. Jha
Alberto Dalla Libera
W. Yerazunis
D. Nikovski
156
28
0
13 Sep 2018
Memorize or generalize? Searching for a compositional RNN in a haystack
Memorize or generalize? Searching for a compositional RNN in a haystack
Adam Liska
Germán Kruszewski
Marco Baroni
147
81
0
18 Feb 2018
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