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2001.00248
Cited By

Meta Reinforcement Learning with Autonomous Inference of Subtask
Dependencies

v1v2 (latest)

Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies

International Conference on Learning Representations (ICLR), 2020

1 January 2020

ArXiv (abs)PDF HTML

Papers citing "Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies"

14 / 14 papers shown

Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos

Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric VideosNeural Information Processing Systems (NeurIPS), 2024

Antonino Furnari

655

27

0

10 Jan 2025

SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for
Long-Horizon Manipulation

SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon ManipulationConference on Robot Learning (CoRL), 2024

Caelan Reed Garrett

429

13

0

23 Oct 2024

Discovering Hierarchical Achievements in Reinforcement Learning via
Contrastive Learning

Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive LearningNeural Information Processing Systems (NeurIPS), 2023

452

8

0

07 Jul 2023

Composing Task Knowledge with Modular Successor Feature Approximators

Composing Task Knowledge with Modular Successor Feature ApproximatorsInternational Conference on Learning Representations (ICLR), 2023

Richard L. Lewis

241

8

0

28 Jan 2023

Concept Discovery for Fast Adapatation

Concept Discovery for Fast AdapatationSDM (SDM), 2023

258

0

0

19 Jan 2023

Matching options to tasks using Option-Indexed Hierarchical
Reinforcement Learning

Matching options to tasks using Option-Indexed Hierarchical Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2022

Soumya Chatterjee

Balaraman Ravindran

161

0

0

12 Jun 2022

Fast Inference and Transfer of Compositional Task Structures for
Few-shot Task Generalization

Fast Inference and Transfer of Compositional Task Structures for Few-shot Task GeneralizationConference on Uncertainty in Artificial Intelligence (UAI), 2022

Aleksandra Faust

310

3

0

25 May 2022

Learning Parameterized Task Structure for Generalization to Unseen
Entities

Learning Parameterized Task Structure for Generalization to Unseen EntitiesAAAI Conference on Artificial Intelligence (AAAI), 2022

303

6

0

28 Mar 2022

Possibility Before Utility: Learning And Using Hierarchical Affordances

Possibility Before Utility: Learning And Using Hierarchical AffordancesInternational Conference on Learning Representations (ICLR), 2022

314

5

0

23 Mar 2022

Environment Generation for Zero-Shot Compositional Reinforcement
Learning

Environment Generation for Zero-Shot Compositional Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022

Manoj Kumar Tiwari

Aleksandra Faust

313

48

0

21 Jan 2022

Multi-Task Learning with Sequence-Conditioned Transporter Networks

Multi-Task Learning with Sequence-Conditioned Transporter Networks

Aleksandra Faust

247

17

0

15 Sep 2021

Recomposing the Reinforcement Learning Building Blocks with
Hypernetworks

Recomposing the Reinforcement Learning Building Blocks with HypernetworksInternational Conference on Machine Learning (ICML), 2021

246

42

0

12 Jun 2021

Towards Minimax Optimal Reinforcement Learning in Factored Markov
Decision Processes

Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision ProcessesNeural Information Processing Systems (NeurIPS), 2020

246

27

0

24 Jun 2020

A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

526

42

0

17 Apr 2020

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