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Modular Multitask Reinforcement Learning with Policy Sketches
v1v2 (latest)

Modular Multitask Reinforcement Learning with Policy Sketches

6 November 2016
Jacob Andreas
Dan Klein
Sergey Levine
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Modular Multitask Reinforcement Learning with Policy Sketches"

50 / 289 papers shown
Realizable Abstractions: Near-Optimal Hierarchical Reinforcement Learning
Realizable Abstractions: Near-Optimal Hierarchical Reinforcement Learning
R. Cipollone
Luca Iocchi
Matteo Leonetti
113
0
0
04 Dec 2025
Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs
Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs
Daniel Furelos-Blanco
Charles Pert
Frederik Kelbel
Alex F Spies
Alessandra Russo
Michael Dennis
118
0
0
16 Nov 2025
DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
Runpeng Xie
Quanwei Wang
Hao Hu
Zherui Zhou
Ni Mu
Xiyun Li
Yiqin Yang
Shuang Xu
Qianchuan Zhao
Bo Xu
154
0
0
22 Oct 2025
Heterogeneous Adversarial Play in Interactive Environments
Heterogeneous Adversarial Play in Interactive Environments
Manjie Xu
Xinyi Yang
Jiayu Zhan
Wei Liang
Chi Zhang
Yixin Zhu
153
0
0
21 Oct 2025
RLAF: Reinforcement Learning from Automaton Feedback
RLAF: Reinforcement Learning from Automaton Feedback
Mahyar Alinejad
Alvaro Velasquez
Yue Wang
George Atia
OffRL
113
0
0
17 Oct 2025
Reinforcement Learning with Stochastic Reward Machines
Reinforcement Learning with Stochastic Reward MachinesAAAI Conference on Artificial Intelligence (AAAI), 2022
Jan Corazza
I. Gavran
Daniel Neider
147
33
0
16 Oct 2025
Multi-Task Reinforcement Learning with Language-Encoded Gated Policy Networks
Multi-Task Reinforcement Learning with Language-Encoded Gated Policy Networks
Rushiv Arora
MoE
104
0
0
07 Oct 2025
Data-Efficient Multitask DAgger
Data-Efficient Multitask DAgger
Haotian Fu
Ran Gong
Xiaohan Zhang
M. Minniti
Jigarkumar Patel
Karl Schmeckpeper
OffRL
144
0
0
29 Sep 2025
Amico: An Event-Driven Modular Framework for Persistent and Embedded Autonomy
Amico: An Event-Driven Modular Framework for Persistent and Embedded Autonomy
Hongyi Yang
Yue Pan
Jiayi Xu
Kelsen Liu
44
1
0
19 Jul 2025
Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data
Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data
Andrew C. Li
Toryn Q. Klassen
Andrew Wang
P. A. Alamdari
Sheila A. McIlraith
LM&Ro
291
1
0
14 Jul 2025
CyberRAG: An Agentic RAG cyber attack classification and reporting tool
CyberRAG: An Agentic RAG cyber attack classification and reporting tool
Francesco Blefari
Cristian Cosentino
Francesco Aurelio Pironti
Angelo Furfaro
Fabrizio Marozzo
313
2
0
03 Jul 2025
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
173
1
0
15 Jun 2025
Subgoal-Guided Policy Heuristic Search with Learned Subgoals
Subgoal-Guided Policy Heuristic Search with Learned SubgoalsInternational Conference on Machine Learning (ICML), 2025
Jake E. Tuero
M. Buro
Levi H. S. Lelis
184
0
0
08 Jun 2025
Modular Diffusion Policy Training: Decoupling and Recombining Guidance and Diffusion for Offline RL
Modular Diffusion Policy Training: Decoupling and Recombining Guidance and Diffusion for Offline RL
Zhaoyang Chen
Cody Fleming
OffRL
181
0
0
19 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
231
2
0
13 May 2025
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
Tzu-Han Hsu
Arshia Rafieioskouei
Borzoo Bonakdarpour
536
2
0
07 Apr 2025
Causally Aligned Curriculum Learning
Causally Aligned Curriculum LearningInternational Conference on Learning Representations (ICLR), 2025
Mingxuan Li
Junzhe Zhang
Elias Bareinboim
CML
304
6
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
333
0
0
20 Mar 2025
A Generalist Hanabi Agent
A Generalist Hanabi AgentInternational Conference on Learning Representations (ICLR), 2025
Arjun Vaithilingam Sudhakar
Hadi Nekoei
Mathieu Reymond
Miao Liu
Janarthanan Rajendran
Sarath Chandar
939
1
0
17 Mar 2025
Causality-Based Reinforcement Learning Method for Multi-Stage Robotic Tasks
Jiechao Deng
Ning Tan
267
0
0
05 Mar 2025
Shared Autonomy for Proximal Teaching
Shared Autonomy for Proximal TeachingIEEE/ACM International Conference on Human-Robot Interaction (HRI), 2025
Megha Srivastava
Reihaneh Iranmanesh
Yuchen Cui
Deepak Gopinath
Emily S. Sumner
Andrew Silva
Laporsha Dees
Guy Rosman
Dorsa Sadigh
236
3
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 NetworkAdaptive Agents and Multi-Agent Systems (AAMAS), 2025
Vincent Hsiao
Mark Roberts
Laura M. Hiatt
George Konidaris
Dana Nau
300
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
456
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
228
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
231
1
0
02 Nov 2024
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Compositional Automata Embeddings for Goal-Conditioned Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024
Beyazit Yalcinkaya
Niklas Lauffer
Marcell Vazquez-Chanlatte
Sanjit A. Seshia
AI4CE
497
14
0
31 Oct 2024
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
SkiLD: Unsupervised Skill Discovery Guided by Factor InteractionsNeural Information Processing Systems (NeurIPS), 2024
Zizhao Wang
Jiaheng Hu
Caleb Chuck
Stephen Chen
Roberto Martín-Martín
Amy Zhang
S. Niekum
Peter Stone
OffRL
272
9
0
24 Oct 2024
Unveiling Options with Neural Decomposition
Unveiling Options with Neural Decomposition
Mahdi Alikhasi
Levi H. S. Lelis
236
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
432
2
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
220
3
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 RLInternational Conference on Learning Representations (ICLR), 2024
Mathias Jackermeier
Alessandro Abate
OffRL
394
11
0
06 Oct 2024
HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers
HiRT: Enhancing Robotic Control with Hierarchical Robot TransformersConference on Robot Learning (CoRL), 2024
Jianke Zhang
Yanjiang Guo
Xiaoyu Chen
Yen-Jen Wang
Yucheng Hu
Chengming Shi
Jianyu Chen
298
46
0
12 Sep 2024
Skills Regularized Task Decomposition for Multi-task Offline
  Reinforcement Learning
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024
Minjong Yoo
Sangwoo Cho
Honguk Woo
OffRL
279
11
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 AbstractionInternational Conference on Learning Representations (ICLR), 2024
Anthony GX-Chen
Kenneth Marino
Rob Fergus
OCL
515
1
0
21 Aug 2024
Maximally Permissive Reward Machines
Maximally Permissive Reward MachinesEuropean Conference on Artificial Intelligence (ECAI), 2024
Giovanni Varricchione
N. Alechina
Mehdi Dastani
Brian Logan
173
0
0
15 Aug 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning
Model-Based Transfer Learning for Contextual Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024
Jung-Hoon Cho
Vindula Jayawardana
Sirui Li
Cathy Wu
OffRL
544
4
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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
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331
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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
266
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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
456
12
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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
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AI4CE
162
0
0
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Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous
  Robot Skills
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot SkillsConference on Robot Learning (CoRL), 2024
Tianhao Wei
Liqian Ma
Rui Chen
Weiye Zhao
Changliu Liu
360
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Learning Planning Abstractions from Language
Learning Planning Abstractions from Language
Weiyu Liu
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270
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MESA: Cooperative Meta-Exploration in Multi-Agent Learning through
  Exploiting State-Action Space Structure
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Yancheng Liang
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194
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Survey on Large Language Model-Enhanced Reinforcement Learning: Concept,
  Taxonomy, and Methods
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Yuji Cao
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Yuheng Cheng
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LLMAGKELMOffRLLM&Ro
411
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Grounding Language Plans in Demonstrations Through Counterfactual
  Perturbations
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Tsun-Hsuan Wang
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Michael Hagenow
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LLMAGLM&RoLRM
418
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Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines
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137
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RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
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Sample Efficient Myopic Exploration Through Multitask Reinforcement
  Learning with Diverse Tasks
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