Publications by year
- 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
pdf bib code Talk - 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
pdf bib code - 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
pdf bib code - 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
pdf bib code - 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
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- 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.
pdf bib technical 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
pdf bib - 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
pdf bib - 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
pdf bib - 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
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- 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
pdf bib - 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
pdf bib code - 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
pdf bib - 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
pdf bib slides talk code - 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
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- 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
pdf bib - 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
pdf bib - Multi-robot planning with conflicts and synergies.
Yuqian Jiang, Harel Yedidsion, Shiqi Zhang, Guni Sharon, and Peter Stone
In Autonomous Robots, 2019
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