Search Results for author: Elliot Meyerson

Found 13 papers, 6 papers with code

The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings

no code implementations ICLR 2021 Elliot Meyerson, Risto Miikkulainen

This paper frames a general prediction system as an observer traveling around a continuous space, measuring values at some locations, and predicting them at others.

Multi-Task Learning

From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic

1 code implementation28 May 2020 Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Elisa Canzani, Babak Hodjat

Several models have been developed to predict how the COVID-19 pandemic spreads, and how it could be contained with non-pharmaceutical interventions (NPIs) such as social distancing restrictions and school and business closures.

Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription

1 code implementation13 Feb 2020 Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad

Using this data, it is possible to learn a surrogate model, and with that model, evolve a decision strategy that optimizes the outcomes.

Decision Making

Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel

1 code implementation ICLR 2020 Xin Qiu, Elliot Meyerson, Risto Miikkulainen

In many such tasks, the point prediction is not enough: the uncertainty (i. e. risk or confidence) of that prediction must also be estimated.

Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains

1 code implementation NeurIPS 2019 Elliot Meyerson, Risto Miikkulainen

As deep learning applications continue to become more diverse, an interesting question arises: Can general problem solving arise from jointly learning several such diverse tasks?

Multi-Task Learning

Evolutionary Architecture Search For Deep Multitask Networks

no code implementations10 Mar 2018 Jason Liang, Elliot Meyerson, Risto Miikkulainen

Multitask learning, i. e. learning several tasks at once with the same neural network, can improve performance in each of the tasks.

Neural Architecture Search

Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering

no code implementations ICLR 2018 Elliot Meyerson, Risto Miikkulainen

Existing deep multitask learning (MTL) approaches align layers shared between tasks in a parallel ordering.

Discovering Evolutionary Stepping Stones through Behavior Domination

no code implementations18 Apr 2017 Elliot Meyerson, Risto Miikkulainen

The conclusion is that behavior domination can help illuminate the complex dynamics of behavior-driven search, and can thus lead to the design of more scalable and robust algorithms.

Multiobjective Optimization

Reuse of Neural Modules for General Video Game Playing

no code implementations4 Dec 2015 Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen

A general approach to knowledge transfer is introduced in which an agent controlled by a neural network adapts how it reuses existing networks as it learns in a new domain.

Atari Games Decision Making +1

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