GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling

Bibliographic Details
Main Authors:	Chitnis, Rohan, Silver, Tom, Tenenbaum, Joshua, Kaelbling, Leslie Pack, Lozano-Perez, Tomas, Intelligence, Assoc Advancement Artificial
Other Authors:	Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format:	Article
Language:	English
Published:	2022
Online Access:	https://hdl.handle.net/1721.1/143743

Similar Items

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
by: Silver, Tom, et al.
Published: (2022)

Learning Symbolic Operators for Task and Motion Planning
by: Silver, Tom, et al.
Published: (2022)

Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization
by: Chitnis, Rohan(Rohan Sunil), et al.
Published: (2021)

Discovering State and Action Abstractions for Generalized Task and Motion Planning
by: Curtis, Aidan, et al.
Published: (2023)

PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
by: Netanyahu, Aviv, et al.
Published: (2021)

Learning Quickly to Plan Quickly Using Modular Meta-Learning
by: Chitnis, Rohan, et al.
Published: (2021)

Babel and Babble in Benjamin and Burke
by: Samuel McCormick, et al.
Published: (2021-10-01)

Speakable in quantum mechanics: babbling on
by: Ronnie Hermens
Published: (2014-07-01)

On the Difference of Scoring in Speech in Babble Tests
by: Afroditi Sereti, et al.
Published: (2022-02-01)

Few-Shot Bayesian Imitation Learning with Logical Program Policies
by: Silver, Tom, et al.
Published: (2021)

Finding Frequent Entities in Continuous Data
by: Alet, Ferran, et al.
Published: (2021)

Integrated robot task and motion planning in belief space
by: Kaelbling, Leslie Pack, et al.
Published: (2012)

Pre-image Backchaining in Belief Space for Mobile Manipulation
by: Kaelbling, Leslie Pack, et al.
Published: (2021)

Learning composable models of parameterized skills
by: Kaelbling, Leslie Pack, et al.
Published: (2021)

Hierarchical Task and Motion Planning in the Now
by: Kaelbling, Leslie Pack, et al.
Published: (2010)

Integrated Robot Task and Motion Planning in the Now
by: Kaelbling, Leslie Pack, et al.
Published: (2012)

Finding aircraft collision-avoidance strategies using policy search methods
by: Kaelbling, Leslie Pack, et al.
Published: (2009)

Learning to guide task and motion planning using score-space representation
by: Kim, Beomjoon, et al.
Published: (2021)

Learning Grammatical Models for Object Recognition
by: Aycinena, Meg, et al.
Published: (2008)

Look Before You Sweep: Visibility-Aware Motion Planning
by: Goretkin, Gustavo, et al.
Published: (2022)

Shape-Based Transfer of Generic Skills
by: Thompson, Skye, et al.
Published: (2022)

Provably safe robot navigation with obstacle uncertainty
by: Axelrod, Brian, et al.
Published: (2021)

Learning When to Quit: Meta-Reasoning for Motion Planning
by: Sung, Yoonchang, et al.
Published: (2022)

Recall of Reverberant Speech in Quiet and Four-Talker Babble Noise
by: Miseung Koo, et al.
Published: (2021-07-01)

Benefits of Auditory Training with an Open-Set Sentences-in-Babble-Noise
by: Ayelet Barda, et al.
Published: (2023-08-01)

The Experiences of Mothers in a Neonatal Unit and Their Use of the Babble App
by: Charlotte Gibson, et al.
Published: (2021-06-01)

Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances
by: Chen, Jingkai, et al.
Published: (2022)

Nutri-bullets: Summarizing Health Studies by Composing Segments
by: Shah, Darsh J, et al.
Published: (2022)

An Information-Theoretic Framework for Unifying Active Learning Problems
by: Nguyen, Quoc Phong, et al.
Published: (2022)

Mobilized ad-hoc networks: A reinforcement learning approach
by: Chang, Yu-Han, et al.
Published: (2005)

Mobilized ad-hoc networks: A reinforcement learning approach
by: Chang, Yu-Han, et al.
Published: (2004)

Automatic Class-Specific 3D Reconstruction from a Single Image
by: Lozano-Perez, Tomas, et al.
Published: (2009)

FFRob: Leveraging symbolic planning for efficient task and motion planning
by: Garrett, Caelan Reed, et al.
Published: (2021)

6.034 Artificial Intelligence, Spring 2003
by: Lozano-Perez, Tomas, et al.
Published: (2003)

Genomics and post-genomics in parasitology: genome babble or a real opportunity?
by: Gull, K
Published: (2000)

Interactive language learning by robots: the transition from babbling to word forms.
by: Caroline Lyon, et al.
Published: (2012-01-01)

Influence of native and non-native multitalker babble on speech recognition in noise
by: Chandni Jain, et al.
Published: (2014-05-01)

BABBLING STAGE CONSTRUCTION OF CHILDREN’S LANGUAGE ACQUISITION ON RURAL AREA LAMPUNG
by: Suhono Suhono, et al.
Published: (2017-09-01)

Effects of face masks on speech recognition in multi-talker babble noise.
by: Joseph C Toscano, et al.
Published: (2021-01-01)

Babbling of an Infant with a Repaired Cleft Lip: A Case Study
by: Carol Brenner, et al.
Published: (1998-12-01)