Publications
In Journals
Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs
Michael Gimelfarb, Ayal Taitler, Scott Sanner
Preprint, 2023
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-Anguas, Jendrik Seipp
AI Magazine, 2023
eMARLIN: Distributed Coordinated Adaptive Traffic Signal Control with Topology-Embedding Propagation
Xiaoyu Wang, Ayal Taitler, Ilia Smirnov, Scott Sanner, Baher Abdulhai
Transportation Research Record (TRR)
Volume 0(0), 2023
Time Optimal Control of a Non-linear Surface Vehicle Subject to Disturbances
Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman
IFAC Journal of Systems and Control
volume 21, article 100195, 2022
Minimum Mixed Time–Energy Trajectory Planning of a Nonlinear Vehicle Subject to 2D Disturbances
Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman
Journal of Optimization Theory and Applications (JOTA)
volume 192, pages 725–757, 2022
An Efficient Single-Session Spatial Skill Trainer for Robot-assisted Surgery: A Randomized Trial
Liel Luko, Avi Parush, Emad Matanis, Roy Louterbach, Ayal Taitler, Lior Lowenstein
The Journal of Minimally Invasive Gynecology (JMIG),
number 3, volume 27, pages 728-737, 2020
Ayal Taitler, Ilya Ioslovich, Per-Olof Gutman, Erez Karpas
Optimization, issue 68, volume 1, pages 125-143, 2019
Learning to Strike Accurately with DQN-based Algorithms
Ayal Taitler, Nahum Shimkin
International Journal of Mathematical Models and Methods in Applied Sciences,
volume 11, pages 158-169, 2017
In Conferences
JaxPlan and GurobiPlan: Optimization Baselines for Replanning in Discrete and Mixed Discrete and Continuous Probabilistic Domains
Micheal Gimelfarb, Ayal Taitler, Scott Sanner
2024 International Conference on Automated Planning and Scheduling (ICAPS)
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
2023 IEEE International Conference on Intelligent Transportation Systems (ITSC)
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
2023 IEEE International Conference on Intelligent Transportation Systems (ITSC)
A2D: Anywhere Anytime Drumming
Harel Yadid, Almog Algranti, Mark Levin, Ayal Taitler
2023 IEEE Region 10 Symposium Annual Conference (TENSYMP)
eMARLIN: Distributed Coordinated Adaptive Traffic Signal Control with Topology-Embedding Propagation
Xiaoyu Wang, Ayal Taitler, Ilia Smirnov, Scott Sanner, Baher Abdulhai
2023 Transportation Research Board Annual Meeting (TRB)
Time Optimal Control for a Non-Linear Planar Vehicle Subject to Disturbances
Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman
2021 First IFAC Modeling, Estimation and Control Conference (MECC)
Time-Energy Optimal Control of a Non-Linear Surface Vehicle Subject to Disturbances
Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman
2021 Third IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON)
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems
Chana Ross, Joel Oren, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Dotan Di Castro, Chris Daniel
2021 Annual Symposium on Combinatorial Search (SoCS)
Automatic Generation of Flexible Plans via Diverse Temporal Planning
Yotam Amitai, Ayal Taitler, Erez Karpas, Per-Olof Gutman
2021 AAAI Conference on Artificial Intelligence
Minimum Time-Optimal Control of Second-Order System With Quadratic Drag and State Constraints
Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman
2019 IEEE Conference on Decision and Control (CDC), Erratum
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
2019 Mediterranean Conference on Control and Automation (MED)
Unspread the Jam: Scheduling Traffic Lights to Reduce Congestion
Yoav Levi, Ayal Taitler, Isaac Keslassy
2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)
Learning Control for Air Hockey Striking using Deep Reinforcement Learning
Ayal Taitler, Nahum Shimkin
2017 International Conference on Control Artificial Intelligence Robotics and Optimization (ICCAIRO)
In Workshops
ModelDiff: Leveraging Models for Policy Transfer with Value Lower Bounds
Xiaotian Liu, Jihwan Jeong, Ayal Taitler, Michael Gimelfarb, Scott Sanner
2024 International Conference on Automated Planning and Scheduling (ICAPS)
Bridging the Gap Between AI Planning and Reinforcement Learning (PRL)
pyRDDLGym: From RDDL to Gym Environments
Ayal Taitler, Michael Gimelfarb, Sriram Gopalakrishnan, Xiaotian Liu, Scott Sanner
2023 International Conference on Automated Planning and Scheduling (ICAPS)
Bridging the Gap Between AI Planning and Reinforcement Learning (PRL)
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems
Chana Ross, Joel Oren, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Dotan Di Castro, Chris Daniel
2021 International Conference on Automated Planning and Scheduling (ICAPS)
Bridging the Gap Between AI Planning and Reinforcement Learning (PRL)
Automatic Generation of Flexible Plans via Diverse Temporal Planning
Yotam Amitai, Ayal Taitler, Erez Karpas, Per-Olof Gutman
2020 International Conference on Automated Planning and Scheduling (ICAPS)
Workshop on Knowledge Engineering for Planning and Scheduling (KEPS)
Minimum Time Validation for Hybrid Task Planning
Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman
2019 International Conference on Automated Planning and Scheduling (ICAPS)
Workshop on Planning and Robotics (PlanRob)
Patents
Device and method for scheduling a set of jobs for a plurality of machines
Ayal Taitler, Christian Daniel, Dotan Di Castro, Felix Milo Richter, Joel Oren, Maksym Lefarov, Nima Manafzadeh Dizbin, Zohar Feldman
US Patent App. 17/179,702
Using Graph Structures to Represent Node State in Deep Reinforcement Learning (RL)-Based Decision Tree Construction
Yaniv Ben-itzhak, Shay Vargaftik, Ayal Taitler
US Patent App. 17/231,476