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09/01/2023
Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains
In this work, we present an approach to identify sub-tasks within a demo...
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03/23/2022
Learning Efficient Exploration through Human Seeded Rapidly-exploring Random Trees
Modern day computer games have extremely large state and action spaces. ...
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10/09/2021
Learning to Follow Language Instructions with Compositional Policies
We propose a framework that learns to execute natural language instructi...
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01/18/2021
Interpretable Policy Specification and Synthesis through Natural Language and RL
Policy specification is a process by which a human can initialize a robo...
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06/23/2020
Robot Object Retrieval with Contextual Natural Language Queries
Natural language object retrieval is a highly useful yet challenging tas...
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05/30/2019
Grounding Language Attributes to Objects using Bayesian Eigenobjects
We develop a system to disambiguate objects based on simple physical des...
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12/03/2018
Mitigating Planner Overfitting in Model-Based Reinforcement Learning
An agent with an inaccurate model of its environment faces a difficult c...
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07/26/2017
A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions
Robots operating alongside humans in diverse, stochastic environments mu...
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04/21/2017
