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ORCIDAyal Taitler
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2020 – today
- 2024
[j4]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:
The 2023 International Planning Competition. AI Mag. 45(2): 280-296 (2024)- [j3]Xiaoyu Wang, Ayal Taitler, Ilia Smirnov, Scott Sanner, Baher Abdulhai:
eMARLIN+: Addressing Partial Observability to Promote Traffic Signal Coordination by Leveraging Historical Information. IEEE Trans. Intell. Transp. Syst. 25(12): 21380-21392 (2024) - [c7]Michael Gimelfarb, Ayal Taitler, Scott Sanner:
JaxPlan and GurobiPlan: Optimization Baselines for Replanning in Discrete and Mixed Discrete-Continuous Probabilistic Domains. ICAPS 2024: 230-238 - [i8]Michael Gimelfarb, Ayal Taitler, Scott Sanner:
Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs. CoRR abs/2401.12243 (2024) - [i7]Ayal Taitler:
A Sequential Decision-Making Model for Perimeter Identification. CoRR abs/2409.02549 (2024) - [i6]Xiaoyu Wang, Ayal Taitler, Scott Sanner, Baher Abdulhai:
Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers. CoRR abs/2409.10693 (2024) - 2023
- [c6]Xiaocan Li, Ray Coden Mercurius, Ayal Taitler, Xiaoyu Wang, Mohammad Noaeen, Scott Sanner, Baher Abdulhai:
Perimeter Control Using Deep Reinforcement Learning: A Model-Free Approach Towards Homogeneous Flow Rate Optimization. ITSC 2023: 1474-1479 - [c5]Xiaoyu Wang, Ayal Taitler, Ilia Smirnov, Scott Sanner, Baher Abdulhai:
eMARLIN+: Overcoming Partial-Observability Caused by Sensor Limitations and Short Detection Ranges in Traffic Signal Control. ITSC 2023: 2337-2342 - [i5]Harel Yadid, Almog Algranti, Mark Levin, Ayal Taitler:
A2D: Anywhere Anytime Drumming. CoRR abs/2304.03289 (2023) - [i4]Xiaocan Li, Ray Coden Mercurius, Ayal Taitler, Xiaoyu Wang, Mohammad Noaeen, Scott Sanner, Baher Abdulhai:
Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization. CoRR abs/2305.19291 (2023) - 2022
- [j2]Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman:
Time optimal control of a non-linear surface vehicle subject to disturbances. IFAC J. Syst. Control. 21: 100195 (2022) - [j1]Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman:
Minimum Mixed Time-Energy Trajectory Planning of a Nonlinear Vehicle Subject to 2D Disturbances. J. Optim. Theory Appl. 192(2): 725-757 (2022) - [i3]Ayal Taitler, Michael Gimelfarb, Sriram Gopalakrishnan, Xiaotian Liu, Scott Sanner:
pyRDDLGym: From RDDL to Gym Environments. CoRR abs/2211.05939 (2022) - 2021
- [c4]Yotam Amitai, Ayal Taitler, Erez Karpas:
Automatic Generation of Flexible Plans via Diverse Temporal Planning. AAAI 2021: 6049-6057 - [c3]Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Dotan Di Castro, Christian Daniel:
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. SOCS 2021: 97-105 - [i2]Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Christian Daniel, Dotan Di Castro:
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. CoRR abs/2104.01646 (2021)
2010 – 2019
- 2019
- [c2]Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman:
Minimum Time Optimal Control of Second Order System With Quadratic Drag and State Constraints. CDC 2019: 523-528 - [c1]Ayal Taitler, Ilya Ioslovich, Erez Karpas, Per-Olof Gutman, Joseph Z. Ben-Asher:
Structural Analysis of Combined Time and Energy Optimal Trajectory Planning with Quadratic Drag. MED 2019: 153-158 - 2017
- [i1]Ayal Taitler, Nahum Shimkin:
Learning Control for Air Hockey Striking using Deep Reinforcement Learning. CoRR abs/1702.08074 (2017)
Coauthor Index
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