Oct-2023: An interview with Lab
director, Dr. Sharon, was published in WIRED Magazine. The resulting
article
discussed Google's AI solutions for traffic signal control optimization.
Feb-2023: Lab director Dr. Guni
Sharon received the National Science Foundation's
Faculty Early Career (CAREER) Award.
Feb-2023: Our AAAI paper"Socially
Optimal Non-Discriminatory Restrictions for Continuous-Action Games"
will be presented (oral presentation) during the "MAS: Mechanism
Design" session at AAAI, Thursday, February 9, 9:30--10:45am.
Please join us to learn more about this interesting topic.
August-2021: Lab director Dr. Guni
Sharon will be providing an Early-Career Spotlight Invited talk
during the 30th International Joint Conference on Artificial
Intelligence (IJCAI-21). The talk titled "Alleviating Road Traffic
Congestion with Artificial Intelligence" will be provided virtually
on Aug 25th at 14:30 EDT.
March-2021: Several news
articles covered our research on self-optimizing signalized
intersection controllers. These articles can be found on:
FUTURITYKHOU-11,
KBTX-TV,
Настоящее Время Russian channel (our story starts on 16:25), and
KAGS-TV.
August-2020: Lab members Dr. Guni
Sharon recieved the journal of Artificial Intelligence (AIJ) 2020
Prominent Paper Award for the paper "Conflict Based Seach for
Optimal Multi Agent Pathfinding".
June-2020: Lab members Sheelabhadra
Dey and Sumedh Pendurkar won 1st place out of 15 submissions in the
data science
competition hosted by TAMIDS. The TAMIDS director wrote "The winning
team derived novel insights into airline performance and translated
these into recommendations for business operations."
October-2019: Our lab hosted students
form James Madison High School, Houston. The visiting students were
excited to learn about our research and participate in demonstrations of
autonomous driving, and Intelligent traffic management.
October-2019: Group member Aaron
Parks-Young is set to give a talk at INFORMS-19 covering his
research on Autonomous Intersection Management.
September-2019: New PhD students
join our lab, James Ault and Sheelabhadra Dey. Good Luck to both!
Continual Optimistic Initialization for Value-Based Reinforcement Learning.
Sheelabhadra Dey, James Ault, and Guni Sharon
In Proceedings of the 23rd International Conference on Autonomous Agents and MultiAgent Systems (AAMAS),
2024
pdfbibcode
Curriculum Generation for Learning Guiding Functions in State-Space Search Algorithms.
Sumedh Pendurkar, Levi Lelis, Nathan Sturtevant, and Guni Sharon
In The 17th International Symposium on Combinatorial Search (SoCS),
2024
pdfbibcode
The (Un)Scalability of Informed Heuristic Function
Estimation in NP-Hard Search Problems
Sumedh Pendurkar, Taoan Huang, Brendan Juba, Jiapeng Zhang, Sven Koenig, and Guni Sharon
In Transactions on Machine Learning Research, 2023
pdfbibcodeTalk
Comparison between popular genetic algorithm
(GA)-based tool and covariance matrix adaptation –
evolutionary strategy (CMA-ES) for optimizing indoor daylight
Manal Anis, Sumedh Pendurkar, Yun Kyu Yi, and Guni Sharon
In Proceedings of Building Simulation 2023: 18th
Conference of IBPSA, 2023
pdfbibcode
Task Phasing: Automated Curriculum Learning from Demonstrations.
Vaibhav Bajaj, Guni Sharon, and Peter Stone
In Proceedings of the 33rd International Conference on Automated Planning and Scheduling (ICAPS),
2023
pdfbibcode
Socially Optimal Non-Discriminatory Restrictions for Continuous-Action Games.
Michael Oesterle and Guni Sharon
In Proceedings of the 37th AAAI Conference on Artificial Intelligence,
2023
pdfbibcode
Bilevel Entropy based Mechanism Design for Balancing Meta in Video Games.
Sumedh Pendurkar, Chris Chow, Luo Jie, and Guni Sharon
In Proceedings of the 22th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS),
2023
pdfbibcode
Intersection Management Protocol for Mixed Autonomous and Human-Operated Vehicles.
Aaron Parks-Young and Guni Sharon
In IEEE Transactions on Intelligent Transportation Systems,
DOI: 10.1109/TITS.2022.3169658.
pdfbibtechnical report (simulation environment)code
A Discussion on the Scalability of Heuristic Approximators.
Sumedh Pendurkar, Taoan Huang, Sven Koenig, and Guni Sharon
In Proceedings of the International Symposium on Combinatorial Search,
2022 pdfbib
A Framework for Predictable Actor-Critic Control (Workshop paper).
Josiah Coad, James Ault, Jeff Hykin, and Guni Sharon
In The Deep Reinforcement Learning (DRL) Workshop at NeurIPS 2022,
2022 pdfbib
The (Un)Scalability of Heuristic Approximators for NP-Hard Search Problems (Workshop paper).
Sumedh Pendurkar, Taoan Huang, Sven Koenig, and Guni Sharon
In Proceedings of the I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2022,
2022 pdfbib
Cooperative Multi-agent Reinforcement Learning Applied to Multi-intersection Traffic Signal Control (Workshop paper).
James Ault and Guni Sharon
In The Third Workshop on Data-driven Intelligent Transportation at CIKM 2022,
2022 pdfbib
Reinforcement Learning Benchmarks for Traffic Signal Control.
James Ault and Guni Sharon
In Proceedings of the 35th Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks,
2021 pdfbib
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies.
Roberto Capobianco and Varun Kompella and James Ault and Guni
Sharon and Stacy Jong and Spencer Fox and Lauren Meyers and
Peter R. Wurman and Peter Stone
In Journal of Artificial Intelligence Research (JAIR),
2021 pdfbibcode
Alleviating Road Traffic Congestion with Artificial Intelligence.
Guni Sharon
In Proceedings of the 30th International Joint Conference
on Artificial Intelligence (IJCAI-21), Early-Career
Spotlight,
2021 pdfbib
A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret.
Sheelabhadra Dey, Sumedh Pendurkar, Guni Sharon, and Josiah Hanna
In the Proceedings of the 34th International Conference on Intelligent Robots and Systems (IROS 2021),
2021 pdfbibslidestalkcode
Multiagent Epidemiologic Inference through Realtime Contact Tracing.
Guni Sharon, James Ault, Peter Stone, Varun Kompella, and Roberto Capobianco
In the Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2021),
2021 pdfbibcode
Learning an Interpretable Traffic Signal Control Policy.
James Ault, Josiah P. Hanna, and Guni Sharon
In the Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2020),
2020 pdfbibcode
Selecting Compliant Agents for Opt-in Micro-Tolling.
Josiah P. Hanna, Guni Sharon, Steve D. Boyles, and Peter Stone
In the Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19),
2019 pdfbib
Marginal Cost Pricing with a Fixed Error Factor in Traffic Networks.
Guni Sharon, Stephen D. Boyles, Shani Alkoby, and Peter Stone
In the Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019),
2019 pdfbib
Multi-robot planning with conflicts and synergies.
Yuqian Jiang, Harel Yedidsion, Shiqi Zhang, Guni Sharon, and Peter Stone
In Autonomous Robots,
2019 pdfbib
Enhanced Delta-tolling: Traffic Optimization via Policy Gradient Reinforcement Learning.
Hamid Mirzaei, Guni Sharon, Stephen D. Boyles, Tony Givargis, and Peter Stone
In the Proceedings of the 21st International Conference on Intelligent Transportation Systems (ITSC-18),
2018 pdfbib