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Modular Multitask Reinforcement Learning with Policy Sketches

Modular Multitask Reinforcement Learning with Policy Sketches

6 November 2016
Jacob Andreas
Dan Klein
Sergey Levine
    OffRL
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Papers citing "Modular Multitask Reinforcement Learning with Policy Sketches"

50 / 273 papers shown
Title
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
Tzu-Han Hsu
Arshia Rafieioskouei
Borzoo Bonakdarpour
41
0
0
07 Apr 2025
Causally Aligned Curriculum Learning
Causally Aligned Curriculum Learning
Mingxuan Li
Junzhe Zhang
Elias Bareinboim
CML
67
3
0
21 Mar 2025
Towards Automated Semantic Interpretability in Reinforcement Learning via Vision-Language Models
Towards Automated Semantic Interpretability in Reinforcement Learning via Vision-Language Models
Zhaoxin Li
Zhang Xi-Jia
Batuhan Altundas
Letian Chen
Rohan R. Paleja
Matthew C. Gombolay
OffRL
46
0
0
20 Mar 2025
A Generalist Hanabi Agent
A Generalist Hanabi Agent
Arjun Vaithilingam Sudhakar
Hadi Nekoei
Mathieu Reymond
Miao Liu
Janarthanan Rajendran
Sarath Chandar
206
0
0
17 Mar 2025
Causality-Based Reinforcement Learning Method for Multi-Stage Robotic Tasks
Jiechao Deng
Ning Tan
63
0
0
05 Mar 2025
Shared Autonomy for Proximal Teaching
Shared Autonomy for Proximal Teaching
Megha Srivastava
Reihaneh Iranmanesh
Yuchen Cui
Deepak Gopinath
Emily S. Sumner
Andrew Silva
Laporsha Dees
Guy Rosman
Dorsa Sadigh
73
1
0
27 Feb 2025
Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network
Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network
Vincent Hsiao
Mark Roberts
Laura M. Hiatt
George Konidaris
Dana Nau
39
0
0
21 Feb 2025
CAREL: Instruction-guided reinforcement learning with cross-modal
  auxiliary objectives
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives
Armin Saghafian
Amirmohammad Izadi
Negin Hashemi Dijujin
M. Baghshah
66
0
0
29 Nov 2024
Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs
Philips George John
Arnab Bhattacharyya
Silviu Maniu
Dimitrios Myrisiotis
Zhenan Wu
OffRL
36
0
0
16 Nov 2024
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical
  Framework with Logical Reward Shaping
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping
Chanjuan Liu
Jinmiao Cong
Bingcai Chen
Yaochu Jin
Enqiang Zhu
40
0
0
02 Nov 2024
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Beyazit Yalcinkaya
Niklas Lauffer
Marcell Vazquez-Chanlatte
S. Seshia
AI4CE
55
5
0
31 Oct 2024
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
Zizhao Wang
Jiaheng Hu
Caleb Chuck
Stephen Chen
Roberto Martín-Martín
Amy Zhang
S. Niekum
Peter Stone
OffRL
64
0
0
24 Oct 2024
Unveiling Options with Neural Decomposition
Unveiling Options with Neural Decomposition
Mahdi Alikhasi
Levi H. S. Lelis
43
0
0
15 Oct 2024
Generalization of Compositional Tasks with Logical Specification via
  Implicit Planning
Generalization of Compositional Tasks with Logical Specification via Implicit Planning
Duo Xu
Faramarz Fekri
OffRL
31
1
0
13 Oct 2024
Words as Beacons: Guiding RL Agents with High-Level Language Prompts
Words as Beacons: Guiding RL Agents with High-Level Language Prompts
Unai Ruiz-Gonzalez
Alain Andres
Pedro G. Bascoy
Javier Del Ser
30
0
0
11 Oct 2024
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
Mathias Jackermeier
Alessandro Abate
OffRL
45
1
0
06 Oct 2024
HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers
HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers
Jianke Zhang
Yanjiang Guo
Xiaoyu Chen
Yen-Jen Wang
Yucheng Hu
Chengming Shi
Jianyu Chen
34
5
0
12 Sep 2024
Skills Regularized Task Decomposition for Multi-task Offline
  Reinforcement Learning
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
Minjong Yoo
Sangwoo Cho
Honguk Woo
OffRL
45
10
0
28 Aug 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
Anthony GX-Chen
Kenneth Marino
Rob Fergus
OCL
58
1
0
21 Aug 2024
Maximally Permissive Reward Machines
Maximally Permissive Reward Machines
Giovanni Varricchione
N. Alechina
Mehdi Dastani
Brian Logan
41
0
0
15 Aug 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning
Model-Based Transfer Learning for Contextual Reinforcement Learning
Jung-Hoon Cho
Vindula Jayawardana
Sirui Li
Cathy Wu
OffRL
50
0
0
08 Aug 2024
Inductive Generalization in Reinforcement Learning from Specifications
Inductive Generalization in Reinforcement Learning from Specifications
Vignesh Subramanian
Rohit Kushwah
Subhajit Roy
Suguman Bansal
OffRL
41
0
0
05 Jun 2024
Shared-unique Features and Task-aware Prioritized Sampling on Multi-task
  Reinforcement Learning
Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning
Po-Shao Lin
Jia-Fong Yeh
Yi-Ting Chen
Winston H. Hsu
42
0
0
02 Jun 2024
Reward Machines for Deep RL in Noisy and Uncertain Environments
Reward Machines for Deep RL in Noisy and Uncertain Environments
Andrew C. Li
Zizhao Chen
Toryn Q. Klassen
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
48
6
0
31 May 2024
Spatio-temporal Value Semantics-based Abstraction for Dense Deep
  Reinforcement Learning
Spatio-temporal Value Semantics-based Abstraction for Dense Deep Reinforcement Learning
Jihui Nie
Dehui Du
Jiangnan Zhao
AI4CE
34
0
0
24 May 2024
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous
  Robot Skills
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills
Tianhao Wei
Liqian Ma
Rui Chen
Weiye Zhao
Changliu Liu
63
3
0
18 May 2024
Learning Planning Abstractions from Language
Learning Planning Abstractions from Language
Weiyu Liu
Geng Chen
Joy Hsu
Jiayuan Mao
Jiajun Wu
PINN
46
2
0
06 May 2024
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through
  Exploiting State-Action Space Structure
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
Zhicheng Zhang
Yancheng Liang
Yi Wu
Fei Fang
31
2
0
01 May 2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept,
  Taxonomy, and Methods
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao
Huan Zhao
Yuheng Cheng
Ting Shu
Guolong Liu
Gaoqi Liang
Junhua Zhao
Yun Li
LLMAG
KELM
OffRL
LM&Ro
37
50
0
30 Mar 2024
Grounding Language Plans in Demonstrations Through Counterfactual
  Perturbations
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations
Yanwei Wang
Tsun-Hsuan Wang
Jiayuan Mao
Michael Hagenow
Julie Shah
LLMAG
LM&Ro
LRM
43
9
0
25 Mar 2024
Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines
Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines
Xuejing Zheng
Chao Yu
29
5
0
08 Mar 2024
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
Priya Sundaresan
Q. Vuong
Jiayuan Gu
Peng Xu
Ted Xiao
...
Ajinkya Jain
Karol Hausman
Dorsa Sadigh
Jeannette Bohg
S. Schaal
VGen
37
26
0
05 Mar 2024
Sample Efficient Myopic Exploration Through Multitask Reinforcement
  Learning with Diverse Tasks
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Ziping Xu
Zifan Xu
Runxuan Jiang
Peter Stone
Ambuj Tewari
48
1
0
03 Mar 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward
  Encodings
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
Kevin Frans
Seohong Park
Pieter Abbeel
Sergey Levine
OffRL
48
10
0
27 Feb 2024
Language-guided Skill Learning with Temporal Variational Inference
Language-guided Skill Learning with Temporal Variational Inference
Haotian Fu
Pratyusha Sharma
Elias Stengel-Eskin
George Konidaris
Nicolas Le Roux
Marc-Alexandre Côté
Xingdi Yuan
38
7
0
26 Feb 2024
Modelling crypto markets by multi-agent reinforcement learning
Modelling crypto markets by multi-agent reinforcement learning
J. Lussange
Stefano Vrizzi
Stefano Palminteri
Boris Gutkin
AIFin
35
0
0
16 Feb 2024
Toward General-Purpose Robots via Foundation Models: A Survey and
  Meta-Analysis
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
Yafei Hu
Quanting Xie
Vidhi Jain
Jonathan M Francis
Jay Patrikar
...
Xiaolong Wang
Sebastian A. Scherer
Z. Kira
Fei Xia
Yonatan Bisk
LM&Ro
AI4CE
43
63
0
14 Dec 2023
Learning adaptive planning representations with natural language
  guidance
Learning adaptive planning representations with natural language guidance
L. Wong
Jiayuan Mao
Pratyusha Sharma
Zachary S. Siegel
Jiahai Feng
Noa Korneev
Joshua B. Tenenbaum
Jacob Andreas
LM&Ro
34
21
0
13 Dec 2023
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues
Sungryull Sohn
Yiwei Lyu
Anthony Z. Liu
Lajanugen Logeswaran
Dong-Ki Kim
Dongsub Shim
Honglak Lee
28
3
0
07 Dec 2023
Program Machine Policy: Addressing Long-Horizon Tasks by Integrating
  Program Synthesis and State Machines
Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines
Yu-An Lin
Chen-Tao Lee
Guanhui. Liu
Pu-Jen Cheng
Shao-Hua Sun
27
0
0
27 Nov 2023
Fast Heavy Inner Product Identification Between Weights and Inputs in
  Neural Network Training
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training
Lianke Qin
Saayan Mitra
Zhao Song
Yuanyuan Yang
Dinesh Manocha
27
0
0
19 Nov 2023
LLM Augmented Hierarchical Agents
LLM Augmented Hierarchical Agents
Bharat Prakash
Tim Oates
T. Mohsenin
21
4
0
09 Nov 2023
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement
  Learning
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
Siming Lan
Rui Zhang
Qi Yi
Jiaming Guo
Shaohui Peng
...
Zidong Du
Xingui Hu
Xishan Zhang
Ling Li
Yunji Chen
24
8
0
02 Nov 2023
ELDEN: Exploration via Local Dependencies
ELDEN: Exploration via Local Dependencies
Jiaheng Hu
Zizhao Wang
Peter Stone
Roberto Martin-Martin
40
8
0
12 Oct 2023
OceanChat: Piloting Autonomous Underwater Vehicles in Natural Language
OceanChat: Piloting Autonomous Underwater Vehicles in Natural Language
Jia Huang
Mengxue Hou
Junkai Wang
Fumin Zhang
40
5
0
27 Sep 2023
Hierarchical reinforcement learning with natural language subgoals
Hierarchical reinforcement learning with natural language subgoals
Arun Ahuja
Kavya Kopparapu
Rob Fergus
Ishita Dasgupta
18
1
0
20 Sep 2023
Online Adaptive Mahalanobis Distance Estimation
Online Adaptive Mahalanobis Distance Estimation
Lianke Qin
Aravind Reddy
Zhao Song
49
1
0
02 Sep 2023
Multi-Level Compositional Reasoning for Interactive Instruction
  Following
Multi-Level Compositional Reasoning for Interactive Instruction Following
Suvaansh Bhambri
Byeonghwi Kim
Jonghyun Choi
LM&Ro
41
11
0
18 Aug 2023
Learning to Model the World with Language
Learning to Model the World with Language
Jessy Lin
Yuqing Du
Olivia Watkins
Danijar Hafner
Pieter Abbeel
Dan Klein
Anca Dragan
LM&Ro
SyDa
38
51
0
31 Jul 2023
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks
  with Surgical Robot
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
Tao Huang
Kai-xiang Chen
Wang Wei
Jianan Li
Yonghao Long
Qi Dou
OffRL
26
6
0
31 Jul 2023
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