Ayal Taitler

According to our database, Ayal Taitler authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers.

Xiaoyu Wang, Ayal Taitler, Scott Sanner, Baher Abdulhai

CoRR, 2024

A Sequential Decision-Making Model for Perimeter Identification.

Ayal Taitler

CoRR, 2024

Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs.

Michael Gimelfarb, Ayal Taitler, Scott Sanner

CoRR, 2024

The 2023 International Planning Competition.

Ayal Taitler, Ron Alford, Joan Espasa, Gregor Behnke, Daniel Fiser, Michael Gimelfarb, Florian Pommerening, Scott Sanner, Enrico Scala, Dominik Schreiber, Javier Segovia-Aguas, Jendrik Seipp

AI Mag., 2024

JaxPlan and GurobiPlan: Optimization Baselines for Replanning in Discrete and Mixed Discrete-Continuous Probabilistic Domains.

Michael Gimelfarb, Ayal Taitler, Scott Sanner

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

2023

A2D: Anywhere Anytime Drumming.

Harel Yadid, Almog Algranti, Mark Levin, Ayal Taitler

CoRR, 2023

eMARLIN+: Overcoming Partial-Observability Caused by Sensor Limitations and Short Detection Ranges in Traffic Signal Control.

Xiaoyu Wang, Ayal Taitler, Ilia Smirnov, Scott Sanner, Baher Abdulhai

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Perimeter Control Using Deep Reinforcement Learning: A Model-Free Approach Towards Homogeneous Flow Rate Optimization.

Xiaocan Li, Ray Coden Mercurius, Ayal Taitler, Xiaoyu Wang, Mohammad Noaeen, Scott Sanner, Baher Abdulhai

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Minimum Mixed Time-Energy Trajectory Planning of a Nonlinear Vehicle Subject to 2D Disturbances.

Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman

J. Optim. Theory Appl., 2022

Time optimal control of a non-linear surface vehicle subject to disturbances.

Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman

IFAC J. Syst. Control., 2022

pyRDDLGym: From RDDL to Gym Environments.

Ayal Taitler, Michael Gimelfarb, Sriram Gopalakrishnan, Xiaotian Liu, Scott Sanner

CoRR, 2022

2021

SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems.

Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Dotan Di Castro, Christian Daniel

Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021

Automatic Generation of Flexible Plans via Diverse Temporal Planning.

Yotam Amitai, Ayal Taitler, Erez Karpas

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Structural Analysis of Combined Time and Energy Optimal Trajectory Planning with Quadratic Drag.

Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman, Joseph Z. Ben-Asher

Proceedings of the 27th Mediterranean Conference on Control and Automation, 2019

Minimum Time Optimal Control of Second Order System With Quadratic Drag and State Constraints.

Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2017

Learning Control for Air Hockey Striking using Deep Reinforcement Learning.

Ayal Taitler, Nahum Shimkin

CoRR, 2017