Jared Markowitz

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 16

Top Topics

Convolutional Neural Network

International Competition

Landmark Recognition

Top Venues

Publications

Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang
A Risk-Sensitive Approach to Policy Optimization. AAAI (2023)
Jared Markowitz, Jesse Silverberg, Gary Collins
Handling Cost and Constraints with Off-Policy Deep Reinforcement Learning. CoRR (2023)
Jared Markowitz, Edward W. Staley
Clipped-Objective Policy Gradients for Pessimistic Policy Optimization. CoRR (2023)
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang
A Risk-Sensitive Approach to Policy Optimization. CoRR (2022)
Edward W. Staley, Jared Markowitz
Triangular Dropout: Variable Network Width without Retraining. CoRR (2022)
Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, Sara Pohland, Corban G. Rivera, I-Jeng Wang, Chien-Ming Huang
Learning a Group-Aware Policy for Robot Navigation. IROS (2022)
Nathan Drenkow, Philippe Burlina, Neil Fendley, Onyekachi Odoemene, Jared Markowitz
Addressing Visual Search in Open and Closed Set Settings. CVPR Workshops (2021)
Jared Markowitz, Marie Chau, I-Jeng Wang
Deep CPT-RL: Imparting Human-Like Risk Sensitivity to Artificial Agents. SafeAI@AAAI (2021)
Edward W. Staley, Chace Ashcraft, Benjamin Stoler, Jared Markowitz, Gautam Vallabha, Christopher Ratto, Kapil D. Katyal
Meta Arcade: A Configurable Environment Suite for Meta-Learning. CoRR (2021)
Nathan Drenkow, Philippe Burlina, Neil Fendley, Kachi Odoemene, Jared Markowitz
Objectness-Guided Open Set Visual Search and Closed Set Detection. CoRR (2020)
Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, I-Jeng Wang, Chien-Ming Huang
Group-Aware Robot Navigation in Crowded Environments. CoRR (2020)
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
The First International Competition in Machine Reconnaissance Blind Chess. NeurIPS (Competition and Demos) (2019)
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens
On the Complexity of Reconnaissance Blind Chess. CoRR (2018)
Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang
Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning. CoRR (2017)
Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang
Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning. MVA (2017)
Jared Markowitz, Hugh M. Herr
Human Leg Model Predicts Muscle Forces, States, and Energetics during Walking. PLoS Comput. Biol. 12 (5) (2016)