Jessica B. Hamrick

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Google ∙ berkeley college

On the role of planning in model-based deep reinforcement learning

Model-based planning is often thought to be necessary for deep, careful ...
11/08/2020 ∙ by Jessica B. Hamrick, et al. ∙ 0 ∙ share

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Exploring Exploration: Comparing Children with RL Agents in Unified Environments

Research in developmental psychology consistently shows that children ex...
05/06/2020 ∙ by Eliza Kosoy, et al. ∙ 4 ∙ share

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Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning

Standard planners for sequential decision making (including Monte Carlo ...
04/23/2020 ∙ by Giambattista Parascandolo, et al. ∙ 27 ∙ share

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Combining Q-Learning and Search with Amortized Value Estimates

We introduce "Search with Amortized Value Estimates" (SAVE), an approach...
12/05/2019 ∙ by Jessica B. Hamrick, et al. ∙ 0 ∙ share

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Object-oriented state editing for HRL

We introduce agents that use object-oriented reasoning to consider alter...
10/31/2019 ∙ by Victor Bapst, et al. ∙ 0 ∙ share

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Structured agents for physical construction

Physical construction -- the ability to compose objects, subject to phys...
04/05/2019 ∙ by Victor Bapst, et al. ∙ 20 ∙ share

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Relational inductive biases, deep learning, and graph networks

Artificial intelligence (AI) has undergone a renaissance recently, makin...
06/04/2018 ∙ by Peter W. Battaglia, et al. ∙ 0 ∙ share

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Relational inductive bias for physical construction in humans and machines

While current deep learning systems excel at tasks such as object classi...
06/04/2018 ∙ by Jessica B. Hamrick, et al. ∙ 0 ∙ share

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Generating Plans that Predict Themselves

Collaboration requires coordination, and we coordinate by anticipating o...
02/14/2018 ∙ by Jaime F. Fisac, et al. ∙ 0 ∙ share

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Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration

The study of human-robot interaction is fundamental to the design and us...
02/06/2018 ∙ by Chang Liu, et al. ∙ 0 ∙ share

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Pragmatic-Pedagogic Value Alignment

For an autonomous system to provide value (e.g., to customers, designers...
07/20/2017 ∙ by Jaime F. Fisac, et al. ∙ 0 ∙ share

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Metacontrol for Adaptive Imagination-Based Optimization

Many machine learning systems are built to solve the hardest examples of...
05/07/2017 ∙ by Jessica B. Hamrick, et al. ∙ 0 ∙ share

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Jessica B. Hamrick

Featured Co-authors

Chang Liu

Joshua B. Tenenbaum

Pushmeet Kohli

Oriol Vinyals

Chris Dyer

Nicolas Heess

Razvan Pascanu

Thomas L. Griffiths

Satinder Singh

Anca D. Dragan

Caglar Gulcehre

On the role of planning in model-based deep reinforcement learning

Exploring Exploration: Comparing Children with RL Agents in Unified Environments

Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning

Combining Q-Learning and Search with Amortized Value Estimates

Object-oriented state editing for HRL

Structured agents for physical construction

Relational inductive biases, deep learning, and graph networks

Relational inductive bias for physical construction in humans and machines

Generating Plans that Predict Themselves

Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration

Pragmatic-Pedagogic Value Alignment

Metacontrol for Adaptive Imagination-Based Optimization