Jared Markowitz

According to our database, Jared Markowitz authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Discovering strategies for coastal resilience with AI-based prediction and optimization.

Jared Markowitz, Alexander New, Jennifer Sleeman, Chace Ashcraft, Jay Brett, Gary Collins, Stella In, Nathaniel Winstead

CoRR, September, 2025

2023

Handling Cost and Constraints with Off-Policy Deep Reinforcement Learning.

Jared Markowitz, Jesse Silverberg, Gary Collins

CoRR, 2023

Clipped-Objective Policy Gradients for Pessimistic Policy Optimization.

Jared Markowitz, Edward W. Staley

CoRR, 2023

A Risk-Sensitive Approach to Policy Optimization.

Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Triangular Dropout: Variable Network Width without Retraining.

Edward W. Staley, Jared Markowitz

CoRR, 2022

Learning a Group-Aware Policy for Robot Navigation.

Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, Sara Pohland, Corban G. Rivera, I-Jeng Wang, Chien-Ming Huang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Meta Arcade: A Configurable Environment Suite for Meta-Learning.

Edward W. Staley, Chace Ashcraft, Benjamin Stoler, Jared Markowitz, Gautam K. Vallabha, Christopher Ratto, Kapil D. Katyal

CoRR, 2021

Addressing Visual Search in Open and Closed Set Settings.

Nathan Drenkow, Philippe Burlina, Neil Fendley, Onyekachi Odoemene, Jared Markowitz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Deep CPT-RL: Imparting Human-Like Risk Sensitivity to Artificial Agents.

Jared Markowitz, Marie Chau, I-Jeng Wang

Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021

2020

Group-Aware Robot Navigation in Crowded Environments.

Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, I-Jeng Wang, Chien-Ming Huang

CoRR, 2020

Objectness-Guided Open Set Visual Search and Closed Set Detection.

Nathan Drenkow, Philippe Burlina, Neil Fendley, Kachi Odoemene, Jared Markowitz

CoRR, 2020

2019

The First International Competition in Machine Reconnaissance Blind Chess.

Ryan W. Gardner, Corey Lowman, Casey Richardson, Ashley J. Llorens, Jared Markowitz, Nathan Drenkow, Andrew Newman, Gregory Clark, Gino Perrotta, Robert Perrotta, Timothy Highley, Vlad Shcherbina, William Bernadoni, Mark Jordan, Asen Asenov

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

2018

On the Complexity of Reconnaissance Blind Chess.

Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens

CoRR, 2018

2017

Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning.

Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang

CoRR, 2017

Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning.

Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang

Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

2016

Human Leg Model Predicts Muscle Forces, States, and Energetics during Walking.

Jared Markowitz, Hugh M. Herr

PLoS Comput. Biol., 2016