Ayal Taitler

21 papers A* 3B 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Bounded-Error Policy Optimization for Mixed Discrete-Continuous MDPs via Constraint Generation in Nonlinear Programming.
CPAIOR (1)
Michael Gimelfarb, Ayal Taitler, Scott Sanner
2025 A* conf
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning.
AAAI
Xiaotian Liu, Jihwan Jeong, Ayal Taitler, Michael Gimelfarb, Scott Sanner
2024 J jnl
A Sequential Decision-Making Model for Perimeter Identification.
CoRR
Ayal Taitler
2024 J jnl
Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs.
CoRR
Michael Gimelfarb, Ayal Taitler, Scott Sanner
2024 A* conf
JaxPlan and GurobiPlan: Optimization Baselines for Replanning in Discrete and Mixed Discrete-Continuous Probabilistic Domains.
ICAPS
Michael Gimelfarb, Ayal Taitler, Scott Sanner
2024 J jnl
Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers.
CoRR
Xiaoyu Wang, Ayal Taitler, Scott Sanner, Baher Abdulhai
2024 J jnl
The 2023 International Planning Competition.
AI Mag.
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
2024 J jnl
eMARLIN+: Addressing Partial Observability to Promote Traffic Signal Coordination by Leveraging Historical Information.
IEEE Trans. Intell. Transp. Syst.
Xiaoyu Wang, Ayal Taitler, Ilia Smirnov, Scott Sanner, Baher Abdulhai
2023 J jnl
A2D: Anywhere Anytime Drumming.
CoRR
Harel Yadid, Almog Algranti, Mark Levin, Ayal Taitler
2023 — conf
Perimeter Control Using Deep Reinforcement Learning: A Model-Free Approach Towards Homogeneous Flow Rate Optimization.
ITSC
Xiaocan Li, Ray Coden Mercurius, Ayal Taitler, Xiaoyu Wang, Mohammad Noaeen, Scott Sanner, Baher Abdulhai
2023 J jnl
Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization.
CoRR
Xiaocan Li, Ray Coden Mercurius, Ayal Taitler, Xiaoyu Wang, Mohammad Noaeen, Scott Sanner, Baher Abdulhai
2023 — conf
eMARLIN+: Overcoming Partial-Observability Caused by Sensor Limitations and Short Detection Ranges in Traffic Signal Control.
ITSC
Xiaoyu Wang, Ayal Taitler, Ilia Smirnov, Scott Sanner, Baher Abdulhai
2022 J jnl
Minimum Mixed Time-Energy Trajectory Planning of a Nonlinear Vehicle Subject to 2D Disturbances.
J. Optim. Theory Appl.
Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman
2022 J jnl
Time optimal control of a non-linear surface vehicle subject to disturbances.
IFAC J. Syst. Control.
Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman
2022 J jnl
pyRDDLGym: From RDDL to Gym Environments.
CoRR
Ayal Taitler, Michael Gimelfarb, Sriram Gopalakrishnan, Xiaotian Liu, Scott Sanner
2021 A* conf
Automatic Generation of Flexible Plans via Diverse Temporal Planning.
AAAI
Yotam Amitai, Ayal Taitler, Erez Karpas
2021 B conf
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems.
SOCS
Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Dotan Di Castro, Christian Daniel
2021 J jnl
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems.
CoRR
Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Christian Daniel, Dotan Di Castro
2019 — conf
Minimum Time Optimal Control of Second Order System With Quadratic Drag and State Constraints.
CDC
Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman
2019 — conf
Structural Analysis of Combined Time and Energy Optimal Trajectory Planning with Quadratic Drag.
MED
Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman, Joseph Z. Ben-Asher
2017 J jnl
Learning Control for Air Hockey Striking using Deep Reinforcement Learning.
CoRR
Ayal Taitler, Nahum Shimkin